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You searched for subject:(Tumor heterogeneity). Showing records 1 – 30 of 43 total matches.

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University of Lund

1. Valind, Anders. Somatic Genetic Variation in Children: from Mosaicism to Cancer.

Degree: 2017, University of Lund

 This thesis concerns various aspects of somatic mosaicism and genetic intratumor heterogeneity in childhood cancer.In paper I, I show that aneuploidy in itself does not… (more)

Subjects/Keywords: Medicinsk genetik; Cancer och onkologi; Somatic Mosaicism; Cancer; Tumor heterogeneity; Neuroblastoma; Wilms Tumor; Rhabdomyosarcoma; Aneuploidy

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APA (6th Edition):

Valind, A. (2017). Somatic Genetic Variation in Children: from Mosaicism to Cancer. (Doctoral Dissertation). University of Lund. Retrieved from http://lup.lub.lu.se/record/7944e59e-f246-44ce-8996-e5f7ed4d1d4d ; http://portal.research.lu.se/ws/files/35159600/Anders_Valind_WEBB.pdf

Chicago Manual of Style (16th Edition):

Valind, Anders. “Somatic Genetic Variation in Children: from Mosaicism to Cancer.” 2017. Doctoral Dissertation, University of Lund. Accessed January 23, 2019. http://lup.lub.lu.se/record/7944e59e-f246-44ce-8996-e5f7ed4d1d4d ; http://portal.research.lu.se/ws/files/35159600/Anders_Valind_WEBB.pdf.

MLA Handbook (7th Edition):

Valind, Anders. “Somatic Genetic Variation in Children: from Mosaicism to Cancer.” 2017. Web. 23 Jan 2019.

Vancouver:

Valind A. Somatic Genetic Variation in Children: from Mosaicism to Cancer. [Internet] [Doctoral dissertation]. University of Lund; 2017. [cited 2019 Jan 23]. Available from: http://lup.lub.lu.se/record/7944e59e-f246-44ce-8996-e5f7ed4d1d4d ; http://portal.research.lu.se/ws/files/35159600/Anders_Valind_WEBB.pdf.

Council of Science Editors:

Valind A. Somatic Genetic Variation in Children: from Mosaicism to Cancer. [Doctoral Dissertation]. University of Lund; 2017. Available from: http://lup.lub.lu.se/record/7944e59e-f246-44ce-8996-e5f7ed4d1d4d ; http://portal.research.lu.se/ws/files/35159600/Anders_Valind_WEBB.pdf


University of Waterloo

2. Forouzannia, Farinaz. Studies of tumor heterogeneity, tumor microenvironment, and radiotherapy: A mathematical and computational approach.

Degree: 2019, University of Waterloo

 Radiotherapy uses high doses of energy to eradicate cancer cells and thus destroy the bulk of tumors. Radiobiologists try to precisely deliver radiation to a… (more)

Subjects/Keywords: Radiotherapy; Cancer stem cells; Mathematical models; Resistance; Tumor control probability; Randomness; Plasticity; Treatment response; Tumor heterogeneity; Tumor microenvironment

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APA (6th Edition):

Forouzannia, F. (2019). Studies of tumor heterogeneity, tumor microenvironment, and radiotherapy: A mathematical and computational approach. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Forouzannia, Farinaz. “Studies of tumor heterogeneity, tumor microenvironment, and radiotherapy: A mathematical and computational approach.” 2019. Thesis, University of Waterloo. Accessed January 23, 2019. http://hdl.handle.net/10012/14306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Forouzannia, Farinaz. “Studies of tumor heterogeneity, tumor microenvironment, and radiotherapy: A mathematical and computational approach.” 2019. Web. 23 Jan 2019.

Vancouver:

Forouzannia F. Studies of tumor heterogeneity, tumor microenvironment, and radiotherapy: A mathematical and computational approach. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/10012/14306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Forouzannia F. Studies of tumor heterogeneity, tumor microenvironment, and radiotherapy: A mathematical and computational approach. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Zomer, A. Intravital imaging of plasticity during tumor growth and metastasis.

Degree: 2015, Universiteit Utrecht

 Most tumors consist of a heterogeneous mixture of genetically and epigenetically distinct tumor cells. In addition, tumors display regional differences in the tumor microenvironment comprising… (more)

Subjects/Keywords: tumor heterogeneity; plasticity; cancer stem cells; extracellular vesicles; metastasis; intravital imaging

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APA (6th Edition):

Zomer, A. (2015). Intravital imaging of plasticity during tumor growth and metastasis. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/321647

Chicago Manual of Style (16th Edition):

Zomer, A. “Intravital imaging of plasticity during tumor growth and metastasis.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed January 23, 2019. http://dspace.library.uu.nl:8080/handle/1874/321647.

MLA Handbook (7th Edition):

Zomer, A. “Intravital imaging of plasticity during tumor growth and metastasis.” 2015. Web. 23 Jan 2019.

Vancouver:

Zomer A. Intravital imaging of plasticity during tumor growth and metastasis. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2019 Jan 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/321647.

Council of Science Editors:

Zomer A. Intravital imaging of plasticity during tumor growth and metastasis. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/321647


Harvard University

4. Naxerova, Kamila. Tracing human cancer evolution with hypermutable DNA.

Degree: PhD, Biology: Medical Sciences, Division of, 2013, Harvard University

 Metastasis is the main cause of cancer morbidity and mortality. Despite its clinical significance, several fundamental questions about the metastatic process in humans remain unsolved.… (more)

Subjects/Keywords: Genetics; Intra-tumor heterogeneity; Lineage tracing; Metastasis; Microsatellites

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APA (6th Edition):

Naxerova, K. (2013). Tracing human cancer evolution with hypermutable DNA. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:11744424

Chicago Manual of Style (16th Edition):

Naxerova, Kamila. “Tracing human cancer evolution with hypermutable DNA.” 2013. Doctoral Dissertation, Harvard University. Accessed January 23, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:11744424.

MLA Handbook (7th Edition):

Naxerova, Kamila. “Tracing human cancer evolution with hypermutable DNA.” 2013. Web. 23 Jan 2019.

Vancouver:

Naxerova K. Tracing human cancer evolution with hypermutable DNA. [Internet] [Doctoral dissertation]. Harvard University; 2013. [cited 2019 Jan 23]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11744424.

Council of Science Editors:

Naxerova K. Tracing human cancer evolution with hypermutable DNA. [Doctoral Dissertation]. Harvard University; 2013. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11744424


Vanderbilt University

5. Heaster, Tiffany Marie. Optical imaging of cell cycle-driven tumor heterogeneity.

Degree: MS, Biomedical Engineering, 2016, Vanderbilt University

 Metabolism-driven changes in cell cycle status introduce a high degree of cellular heterogeneity within a tumor, presenting challenges with evasion from drug treatment and increased… (more)

Subjects/Keywords: fluorescence lifetime; tumor dormancy; metabolic imaging; quiescence; cellular heterogeneity; cancer

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APA (6th Edition):

Heaster, T. M. (2016). Optical imaging of cell cycle-driven tumor heterogeneity. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-03282016-155111/ ;

Chicago Manual of Style (16th Edition):

Heaster, Tiffany Marie. “Optical imaging of cell cycle-driven tumor heterogeneity.” 2016. Masters Thesis, Vanderbilt University. Accessed January 23, 2019. http://etd.library.vanderbilt.edu//available/etd-03282016-155111/ ;.

MLA Handbook (7th Edition):

Heaster, Tiffany Marie. “Optical imaging of cell cycle-driven tumor heterogeneity.” 2016. Web. 23 Jan 2019.

Vancouver:

Heaster TM. Optical imaging of cell cycle-driven tumor heterogeneity. [Internet] [Masters thesis]. Vanderbilt University; 2016. [cited 2019 Jan 23]. Available from: http://etd.library.vanderbilt.edu//available/etd-03282016-155111/ ;.

Council of Science Editors:

Heaster TM. Optical imaging of cell cycle-driven tumor heterogeneity. [Masters Thesis]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu//available/etd-03282016-155111/ ;


Cornell University

6. Thege, Fredrik Ivar. The effect of phenotypic heterogeneity on pancreatic circulating tumor cell capture and tumor spheroids .

Degree: 2017, Cornell University

 Pancreatic cancer is the third-leading cause of cancer-related death in the US and represents a difficult challenge to modern medicine, with increasing incidence and modest… (more)

Subjects/Keywords: Pancreatic cancer; Chemoresistance; EMT; Heterogeneity; Circulating tumor cells; Spheroids; Biomedical engineering

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APA (6th Edition):

Thege, F. I. (2017). The effect of phenotypic heterogeneity on pancreatic circulating tumor cell capture and tumor spheroids . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/47848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thege, Fredrik Ivar. “The effect of phenotypic heterogeneity on pancreatic circulating tumor cell capture and tumor spheroids .” 2017. Thesis, Cornell University. Accessed January 23, 2019. http://hdl.handle.net/1813/47848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thege, Fredrik Ivar. “The effect of phenotypic heterogeneity on pancreatic circulating tumor cell capture and tumor spheroids .” 2017. Web. 23 Jan 2019.

Vancouver:

Thege FI. The effect of phenotypic heterogeneity on pancreatic circulating tumor cell capture and tumor spheroids . [Internet] [Thesis]. Cornell University; 2017. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/1813/47848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thege FI. The effect of phenotypic heterogeneity on pancreatic circulating tumor cell capture and tumor spheroids . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/47848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rice University

7. Fan, Xian. Calculating Variant Allele Fraction of Structural Variation in Next Generation Sequencing by Maximum Likelihood.

Degree: MS, Engineering, 2015, Rice University

 Cancer cells are intrinsically heterogeneous. Multiple clones with their unique variants co-exist in tumor tissues. The variants include point mutations and structural variations. Point mutations,… (more)

Subjects/Keywords: Tumor Heterogeneity; Variant Allele Fraction; Structural Variation; Next Generation Sequencing

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APA (6th Edition):

Fan, X. (2015). Calculating Variant Allele Fraction of Structural Variation in Next Generation Sequencing by Maximum Likelihood. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/87870

Chicago Manual of Style (16th Edition):

Fan, Xian. “Calculating Variant Allele Fraction of Structural Variation in Next Generation Sequencing by Maximum Likelihood.” 2015. Masters Thesis, Rice University. Accessed January 23, 2019. http://hdl.handle.net/1911/87870.

MLA Handbook (7th Edition):

Fan, Xian. “Calculating Variant Allele Fraction of Structural Variation in Next Generation Sequencing by Maximum Likelihood.” 2015. Web. 23 Jan 2019.

Vancouver:

Fan X. Calculating Variant Allele Fraction of Structural Variation in Next Generation Sequencing by Maximum Likelihood. [Internet] [Masters thesis]. Rice University; 2015. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/1911/87870.

Council of Science Editors:

Fan X. Calculating Variant Allele Fraction of Structural Variation in Next Generation Sequencing by Maximum Likelihood. [Masters Thesis]. Rice University; 2015. Available from: http://hdl.handle.net/1911/87870


Universiteit Utrecht

8. Steenbeek, S.C. Plasticity in cancer stem cells: the role of stochasticity, genetic instability, epigenetics and the microenvironment.

Degree: 2014, Universiteit Utrecht

 The cancer stem cell (CSC) theory proposes that a tumor is maintained and propagated by a cancer cell with stem cell-like properties. CSCs have been… (more)

Subjects/Keywords: Cancer; Cancer Stem Cell; CSC; Plasticity; Heterogeneity; Tumor; Stochasticity; Genetic Instability; Epigenetics; Microenvironment

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APA (6th Edition):

Steenbeek, S. C. (2014). Plasticity in cancer stem cells: the role of stochasticity, genetic instability, epigenetics and the microenvironment. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/291006

Chicago Manual of Style (16th Edition):

Steenbeek, S C. “Plasticity in cancer stem cells: the role of stochasticity, genetic instability, epigenetics and the microenvironment.” 2014. Masters Thesis, Universiteit Utrecht. Accessed January 23, 2019. http://dspace.library.uu.nl:8080/handle/1874/291006.

MLA Handbook (7th Edition):

Steenbeek, S C. “Plasticity in cancer stem cells: the role of stochasticity, genetic instability, epigenetics and the microenvironment.” 2014. Web. 23 Jan 2019.

Vancouver:

Steenbeek SC. Plasticity in cancer stem cells: the role of stochasticity, genetic instability, epigenetics and the microenvironment. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2019 Jan 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/291006.

Council of Science Editors:

Steenbeek SC. Plasticity in cancer stem cells: the role of stochasticity, genetic instability, epigenetics and the microenvironment. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/291006


Penn State University

9. Cleary, Allison Shea. Heterogeneity in Mammary Cancer: Using Mouse Models to Investigate Tumor Subtype Origins and Interclonal Interactions.

Degree: PhD, Cell and Molecular Biology, 2014, Penn State University

 Breast cancer is a heterogeneous disease on two levels. First, breast cancers display inter-tumor heterogeneity evidenced by the diversity of clinically and molecularly defined tumor(more)

Subjects/Keywords: tumor heterogeneity; interclonal cooperation; breast cancer; mammary gland; transgenic mice; 3D organoid culture; FACS

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APA (6th Edition):

Cleary, A. S. (2014). Heterogeneity in Mammary Cancer: Using Mouse Models to Investigate Tumor Subtype Origins and Interclonal Interactions. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22628

Chicago Manual of Style (16th Edition):

Cleary, Allison Shea. “Heterogeneity in Mammary Cancer: Using Mouse Models to Investigate Tumor Subtype Origins and Interclonal Interactions.” 2014. Doctoral Dissertation, Penn State University. Accessed January 23, 2019. https://etda.libraries.psu.edu/catalog/22628.

MLA Handbook (7th Edition):

Cleary, Allison Shea. “Heterogeneity in Mammary Cancer: Using Mouse Models to Investigate Tumor Subtype Origins and Interclonal Interactions.” 2014. Web. 23 Jan 2019.

Vancouver:

Cleary AS. Heterogeneity in Mammary Cancer: Using Mouse Models to Investigate Tumor Subtype Origins and Interclonal Interactions. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Jan 23]. Available from: https://etda.libraries.psu.edu/catalog/22628.

Council of Science Editors:

Cleary AS. Heterogeneity in Mammary Cancer: Using Mouse Models to Investigate Tumor Subtype Origins and Interclonal Interactions. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/22628


University of California – Irvine

10. Chen, George Tsun-Te. Wnt Signaling Regulation of Colon Cancer Metabolism and Invasion.

Degree: Biomedical Sciences, 2018, University of California – Irvine

 The Wnt signaling pathway is a highly conserved cell-to-cell communication network in animals, and it regulates many gene programs essential for organism growth and development.… (more)

Subjects/Keywords: Oncology; Biology; Genetics; Cell Migration; Colon Cancer; Metabolism; Tumor heterogeneity; Turing pattern; Wnt Signaling

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APA (6th Edition):

Chen, G. T. (2018). Wnt Signaling Regulation of Colon Cancer Metabolism and Invasion. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/95x9n1c4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, George Tsun-Te. “Wnt Signaling Regulation of Colon Cancer Metabolism and Invasion.” 2018. Thesis, University of California – Irvine. Accessed January 23, 2019. http://www.escholarship.org/uc/item/95x9n1c4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, George Tsun-Te. “Wnt Signaling Regulation of Colon Cancer Metabolism and Invasion.” 2018. Web. 23 Jan 2019.

Vancouver:

Chen GT. Wnt Signaling Regulation of Colon Cancer Metabolism and Invasion. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2019 Jan 23]. Available from: http://www.escholarship.org/uc/item/95x9n1c4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen GT. Wnt Signaling Regulation of Colon Cancer Metabolism and Invasion. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/95x9n1c4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Ontario

11. Lowerison, Matthew R. First-order statistical speckle models improve robustness and reproducibility of contrast-enhanced ultrasound perfusion estimates.

Degree: 2017, University of Western Ontario

 Contrast-enhanced ultrasound (CEUS) permits the quantification and monitoring of adaptive tumor responses in the face of anti-angiogenic treatment, with the goal of informing targeted therapy.… (more)

Subjects/Keywords: contrast-enhanced ultrasound; speckle statistics; tumor heterogeneity; breast cancer; renal cell carcinoma; anti-angiogenesis; Biophysics

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APA (6th Edition):

Lowerison, M. R. (2017). First-order statistical speckle models improve robustness and reproducibility of contrast-enhanced ultrasound perfusion estimates. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4399

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lowerison, Matthew R. “First-order statistical speckle models improve robustness and reproducibility of contrast-enhanced ultrasound perfusion estimates.” 2017. Thesis, University of Western Ontario. Accessed January 23, 2019. https://ir.lib.uwo.ca/etd/4399.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lowerison, Matthew R. “First-order statistical speckle models improve robustness and reproducibility of contrast-enhanced ultrasound perfusion estimates.” 2017. Web. 23 Jan 2019.

Vancouver:

Lowerison MR. First-order statistical speckle models improve robustness and reproducibility of contrast-enhanced ultrasound perfusion estimates. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 Jan 23]. Available from: https://ir.lib.uwo.ca/etd/4399.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lowerison MR. First-order statistical speckle models improve robustness and reproducibility of contrast-enhanced ultrasound perfusion estimates. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4399

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Ontario

12. Vakili, Tahereh. An invasive tumor cell subpopulation as a therapeutic target in breast cancer.

Degree: 2017, University of Western Ontario

Tumor heterogeneity and lack of targeted therapies are major hurdles in triple-negative breast cancer (TNBC) management. Elevated hyaluronan (HA) is a prognostic factor for poor… (more)

Subjects/Keywords: Tumor heterogeneity; Hyaluronan; Chemoresistance; RHAMM; Targeted therapy; Triple Negative Breast Cncer; Medicine and Health Sciences

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APA (6th Edition):

Vakili, T. (2017). An invasive tumor cell subpopulation as a therapeutic target in breast cancer. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5104

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vakili, Tahereh. “An invasive tumor cell subpopulation as a therapeutic target in breast cancer.” 2017. Thesis, University of Western Ontario. Accessed January 23, 2019. https://ir.lib.uwo.ca/etd/5104.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vakili, Tahereh. “An invasive tumor cell subpopulation as a therapeutic target in breast cancer.” 2017. Web. 23 Jan 2019.

Vancouver:

Vakili T. An invasive tumor cell subpopulation as a therapeutic target in breast cancer. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 Jan 23]. Available from: https://ir.lib.uwo.ca/etd/5104.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vakili T. An invasive tumor cell subpopulation as a therapeutic target in breast cancer. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/5104

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Paris-Sud – Paris XI

13. Orlhac, Fanny. Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs : Beyond the measurement of SUV in PET imaging : Properties and potential of the parameters of texture to characterize tumors.

Degree: Docteur es, Physique, 2015, Université Paris-Sud – Paris XI

Caractériser précisément l’hétérogénéité tumorale constitue un enjeu majeur en cancérologie. Le calcul de biomarqueurs de cette hétérogénéité directement à partir des données d’imagerie présente de… (more)

Subjects/Keywords: TEP; Quantification; Hétérogénéité tumorale; Analyse de texture; PET; Quantification; Tumor heterogeneity; Texture analysis

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APA (6th Edition):

Orlhac, F. (2015). Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs : Beyond the measurement of SUV in PET imaging : Properties and potential of the parameters of texture to characterize tumors. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2015PA112198

Chicago Manual of Style (16th Edition):

Orlhac, Fanny. “Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs : Beyond the measurement of SUV in PET imaging : Properties and potential of the parameters of texture to characterize tumors.” 2015. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed January 23, 2019. http://www.theses.fr/2015PA112198.

MLA Handbook (7th Edition):

Orlhac, Fanny. “Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs : Beyond the measurement of SUV in PET imaging : Properties and potential of the parameters of texture to characterize tumors.” 2015. Web. 23 Jan 2019.

Vancouver:

Orlhac F. Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs : Beyond the measurement of SUV in PET imaging : Properties and potential of the parameters of texture to characterize tumors. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2015. [cited 2019 Jan 23]. Available from: http://www.theses.fr/2015PA112198.

Council of Science Editors:

Orlhac F. Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs : Beyond the measurement of SUV in PET imaging : Properties and potential of the parameters of texture to characterize tumors. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2015. Available from: http://www.theses.fr/2015PA112198

14. Dagher, Julien. Analyse comparative des carcinomes à cellules claires du rein et de leurs métastases : Comparative analysis of clear cell renal cell carcinomas and their metastases.

Degree: Docteur es, Génétique, Génomique, Bioinformatique, 2018, Rennes 1

Le carcinome à cellules claires du rein (ccRCC) est une tumeur très hétérogène. Le taux de métastase est de l’ordre de 50% et les métastases… (more)

Subjects/Keywords: Cancer du rein; Métastase; Hétérogénéité tumorale; Pronostic; Kidney cancer; Metastases; Tumor heterogeneity; Prognosis

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APA (6th Edition):

Dagher, J. (2018). Analyse comparative des carcinomes à cellules claires du rein et de leurs métastases : Comparative analysis of clear cell renal cell carcinomas and their metastases. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2018REN1B010

Chicago Manual of Style (16th Edition):

Dagher, Julien. “Analyse comparative des carcinomes à cellules claires du rein et de leurs métastases : Comparative analysis of clear cell renal cell carcinomas and their metastases.” 2018. Doctoral Dissertation, Rennes 1. Accessed January 23, 2019. http://www.theses.fr/2018REN1B010.

MLA Handbook (7th Edition):

Dagher, Julien. “Analyse comparative des carcinomes à cellules claires du rein et de leurs métastases : Comparative analysis of clear cell renal cell carcinomas and their metastases.” 2018. Web. 23 Jan 2019.

Vancouver:

Dagher J. Analyse comparative des carcinomes à cellules claires du rein et de leurs métastases : Comparative analysis of clear cell renal cell carcinomas and their metastases. [Internet] [Doctoral dissertation]. Rennes 1; 2018. [cited 2019 Jan 23]. Available from: http://www.theses.fr/2018REN1B010.

Council of Science Editors:

Dagher J. Analyse comparative des carcinomes à cellules claires du rein et de leurs métastases : Comparative analysis of clear cell renal cell carcinomas and their metastases. [Doctoral Dissertation]. Rennes 1; 2018. Available from: http://www.theses.fr/2018REN1B010


University of California – San Diego

15. Searles, Stephen Curtis. Exosomes and cell-cell fusion in cancer.

Degree: Biomedical Sciences, 2018, University of California – San Diego

 The tumor microenvironment plays a critical role in dictating cancer outcome. Specifically, intercellular communication that occurs between transformed cancer cells and non-transformed host cells is… (more)

Subjects/Keywords: Oncology; Immunology; Cancer; Cancer heterogeneity; Cell-cell fusion; Exosome; Immunology; Tumor immunology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Searles, S. C. (2018). Exosomes and cell-cell fusion in cancer. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/5jj2q5kp

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Searles, Stephen Curtis. “Exosomes and cell-cell fusion in cancer.” 2018. Thesis, University of California – San Diego. Accessed January 23, 2019. http://www.escholarship.org/uc/item/5jj2q5kp.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Searles, Stephen Curtis. “Exosomes and cell-cell fusion in cancer.” 2018. Web. 23 Jan 2019.

Vancouver:

Searles SC. Exosomes and cell-cell fusion in cancer. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Jan 23]. Available from: http://www.escholarship.org/uc/item/5jj2q5kp.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Searles SC. Exosomes and cell-cell fusion in cancer. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/5jj2q5kp

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

16. -7196-4232. Bayesian nonparametric models for biomedical data analysis.

Degree: Statistics, 2017, University of Texas – Austin

 In this dissertation, we develop nonparametric Bayesian models for biomedical data analysis. In particular, we focus on inference for tumor heterogeneity and inference for missing… (more)

Subjects/Keywords: Bayesian nonparametrics; Biomedical data analysis; Feature allocation; Gaussian process; Tumor heterogeneity; Missing data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-7196-4232. (2017). Bayesian nonparametric models for biomedical data analysis. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62340

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7196-4232. “Bayesian nonparametric models for biomedical data analysis.” 2017. Thesis, University of Texas – Austin. Accessed January 23, 2019. http://hdl.handle.net/2152/62340.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7196-4232. “Bayesian nonparametric models for biomedical data analysis.” 2017. Web. 23 Jan 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7196-4232. Bayesian nonparametric models for biomedical data analysis. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/2152/62340.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7196-4232. Bayesian nonparametric models for biomedical data analysis. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62340

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

17. Landman, Sean. Computational Techniques for Analyzing Tumor DNA Data.

Degree: PhD, Computer Science, 2016, University of Minnesota

 Cancer has often been described as a disease of the genome, and understanding the underlying genetics of this complex disease opens the door to developing… (more)

Subjects/Keywords: Bioinformatics; Cancer Genomics; Computational Genomics; Insertional Mutagenesis; Next-Generation Sequencing; Tumor Heterogeneity

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APA (6th Edition):

Landman, S. (2016). Computational Techniques for Analyzing Tumor DNA Data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182303

Chicago Manual of Style (16th Edition):

Landman, Sean. “Computational Techniques for Analyzing Tumor DNA Data.” 2016. Doctoral Dissertation, University of Minnesota. Accessed January 23, 2019. http://hdl.handle.net/11299/182303.

MLA Handbook (7th Edition):

Landman, Sean. “Computational Techniques for Analyzing Tumor DNA Data.” 2016. Web. 23 Jan 2019.

Vancouver:

Landman S. Computational Techniques for Analyzing Tumor DNA Data. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/11299/182303.

Council of Science Editors:

Landman S. Computational Techniques for Analyzing Tumor DNA Data. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182303


University of Pennsylvania

18. Stypulkowski, Ewa. Palmitoylation And Polarity: Regulation Of Asymmetric Partitioning Of Notch And Wnt Signaling By Reversible Lipid Modification In Dividing Cells.

Degree: 2018, University of Pennsylvania

 Protein palmitoylation is a reversible lipid modification that regulates protein-membrane interaction, activity, trafficking, and stability in a spatio-temporal manner similar to phosphorylation and ubiquitination. Asymmetric… (more)

Subjects/Keywords: Asymmetric cell division; Cell fate; Notch; Palmitoylation; Tumor heterogeneity; Wnt; Cell Biology

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APA (6th Edition):

Stypulkowski, E. (2018). Palmitoylation And Polarity: Regulation Of Asymmetric Partitioning Of Notch And Wnt Signaling By Reversible Lipid Modification In Dividing Cells. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2821

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stypulkowski, Ewa. “Palmitoylation And Polarity: Regulation Of Asymmetric Partitioning Of Notch And Wnt Signaling By Reversible Lipid Modification In Dividing Cells.” 2018. Thesis, University of Pennsylvania. Accessed January 23, 2019. https://repository.upenn.edu/edissertations/2821.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stypulkowski, Ewa. “Palmitoylation And Polarity: Regulation Of Asymmetric Partitioning Of Notch And Wnt Signaling By Reversible Lipid Modification In Dividing Cells.” 2018. Web. 23 Jan 2019.

Vancouver:

Stypulkowski E. Palmitoylation And Polarity: Regulation Of Asymmetric Partitioning Of Notch And Wnt Signaling By Reversible Lipid Modification In Dividing Cells. [Internet] [Thesis]. University of Pennsylvania; 2018. [cited 2019 Jan 23]. Available from: https://repository.upenn.edu/edissertations/2821.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stypulkowski E. Palmitoylation And Polarity: Regulation Of Asymmetric Partitioning Of Notch And Wnt Signaling By Reversible Lipid Modification In Dividing Cells. [Thesis]. University of Pennsylvania; 2018. Available from: https://repository.upenn.edu/edissertations/2821

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Florida

19. Farhidzadeh, Hamidreza. Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI.

Degree: 2017, University of South Florida

 Soft Tissue Sarcomas (STS) are among the most dangerous diseases, with a 50% mortality rate in the USA in 2016. Heterogeneous responses to the treatments… (more)

Subjects/Keywords: Deep Learning; Ensemble Bag of Visual Words; Image Processing; Radiomics; Tumor Heterogeneity; Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Farhidzadeh, H. (2017). Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/7398

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Farhidzadeh, Hamidreza. “Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI.” 2017. Thesis, University of South Florida. Accessed January 23, 2019. https://scholarcommons.usf.edu/etd/7398.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Farhidzadeh, Hamidreza. “Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI.” 2017. Web. 23 Jan 2019.

Vancouver:

Farhidzadeh H. Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI. [Internet] [Thesis]. University of South Florida; 2017. [cited 2019 Jan 23]. Available from: https://scholarcommons.usf.edu/etd/7398.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Farhidzadeh H. Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI. [Thesis]. University of South Florida; 2017. Available from: https://scholarcommons.usf.edu/etd/7398

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas Medical Center

20. Leung, Marco. Investigating Metastatic Lineage in Colorectal Cancer by Single Cell DNA Sequencing.

Degree: PhD, 2016, Texas Medical Center

  Metastasis is the primary cause of human cancer deaths. Patients with metastatic colorectal cancer (mCRC) show only an 11% 5-year survival rate, compared to… (more)

Subjects/Keywords: single cell sequencing; cancer genomics; tumor evolution; intratumor heterogeneity; next generation sequencing; colorectal cancer; Bioinformatics; Computational Biology; Genomics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Leung, M. (2016). Investigating Metastatic Lineage in Colorectal Cancer by Single Cell DNA Sequencing. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/658

Chicago Manual of Style (16th Edition):

Leung, Marco. “Investigating Metastatic Lineage in Colorectal Cancer by Single Cell DNA Sequencing.” 2016. Doctoral Dissertation, Texas Medical Center. Accessed January 23, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/658.

MLA Handbook (7th Edition):

Leung, Marco. “Investigating Metastatic Lineage in Colorectal Cancer by Single Cell DNA Sequencing.” 2016. Web. 23 Jan 2019.

Vancouver:

Leung M. Investigating Metastatic Lineage in Colorectal Cancer by Single Cell DNA Sequencing. [Internet] [Doctoral dissertation]. Texas Medical Center; 2016. [cited 2019 Jan 23]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/658.

Council of Science Editors:

Leung M. Investigating Metastatic Lineage in Colorectal Cancer by Single Cell DNA Sequencing. [Doctoral Dissertation]. Texas Medical Center; 2016. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/658


University of California – Irvine

21. Li, Yi. Machine Learning for High Throughput Genomic Data Analysis.

Degree: Computer Science, 2016, University of California – Irvine

 Machine learning methods have been successfully applied to computational biology and bioinformatics for decades with both unsupervised learning and supervised learning. Recent advancement in high… (more)

Subjects/Keywords: Bioinformatics; Computer science; Artificial intelligence; Cancer Genomics; Computational Biology; Deep Learning; Machine Learning; Next Generation Sequencing; Tumor Heterogeneity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, Y. (2016). Machine Learning for High Throughput Genomic Data Analysis. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/08q4v4xj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Yi. “Machine Learning for High Throughput Genomic Data Analysis.” 2016. Thesis, University of California – Irvine. Accessed January 23, 2019. http://www.escholarship.org/uc/item/08q4v4xj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Yi. “Machine Learning for High Throughput Genomic Data Analysis.” 2016. Web. 23 Jan 2019.

Vancouver:

Li Y. Machine Learning for High Throughput Genomic Data Analysis. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Jan 23]. Available from: http://www.escholarship.org/uc/item/08q4v4xj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Y. Machine Learning for High Throughput Genomic Data Analysis. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/08q4v4xj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Jeong, Jeho. State-based simulations of tumor response to radiotherapy.

Degree: 2012, University of Missouri – Columbia

 A tumor is comprised of biologically different subdivisions and microenvironmental factors affect the treatment response to radiation therapy (RT). In this work, a state-based tumor(more)

Subjects/Keywords: radiation therapy; microenvironment; radiobiological model; tumor heterogeneity

…a significant level of heterogeneity exists in a tumor, which might affect the tumor… …al., 2008; Sura et al., 2008). Considering the heterogeneity of the tumor, it is… …definition and more efficient therapeutic strategy considering the tumor heterogeneity and… …microenvironment. 1.2. Background 1.2.1. Tumor heterogeneity Tumors are comprised of biologically… …the most important and well-known factors of tumor heterogeneity. Hypoxia arises from the… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jeong, J. (2012). State-based simulations of tumor response to radiotherapy. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/15003

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jeong, Jeho. “State-based simulations of tumor response to radiotherapy.” 2012. Thesis, University of Missouri – Columbia. Accessed January 23, 2019. http://hdl.handle.net/10355/15003.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jeong, Jeho. “State-based simulations of tumor response to radiotherapy.” 2012. Web. 23 Jan 2019.

Vancouver:

Jeong J. State-based simulations of tumor response to radiotherapy. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/10355/15003.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jeong J. State-based simulations of tumor response to radiotherapy. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/15003

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

23. Fernandes, Andrew Dellano. Quantifying Phylogenetic Conservation in Protein Molecular Evolution.

Degree: PhD, Biomathematics, 2006, North Carolina State University

 This dissertation examines the problem of quantifying amino acid conservation in proteins molecular evolution. Ideally, this conservation is quantified by inferring the rate of evolution… (more)

Subjects/Keywords: molecular evolution; p53 tumor suppressor; rate heterogeneity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fernandes, A. D. (2006). Quantifying Phylogenetic Conservation in Protein Molecular Evolution. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5828

Chicago Manual of Style (16th Edition):

Fernandes, Andrew Dellano. “Quantifying Phylogenetic Conservation in Protein Molecular Evolution.” 2006. Doctoral Dissertation, North Carolina State University. Accessed January 23, 2019. http://www.lib.ncsu.edu/resolver/1840.16/5828.

MLA Handbook (7th Edition):

Fernandes, Andrew Dellano. “Quantifying Phylogenetic Conservation in Protein Molecular Evolution.” 2006. Web. 23 Jan 2019.

Vancouver:

Fernandes AD. Quantifying Phylogenetic Conservation in Protein Molecular Evolution. [Internet] [Doctoral dissertation]. North Carolina State University; 2006. [cited 2019 Jan 23]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5828.

Council of Science Editors:

Fernandes AD. Quantifying Phylogenetic Conservation in Protein Molecular Evolution. [Doctoral Dissertation]. North Carolina State University; 2006. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5828

24. Lefebvre, Guillaume. Modélisation et analyse de l'hétérogénéité tumorale lors de résistance aux traitements : cas des métastases hépatiques de GIST : Modeling and analysis of tumor heterogeneity during treatments resistance : case of GIST liver metastases.

Degree: Docteur es, Mathématiques appliquées et calcul scientifique, 2015, Bordeaux

Cette thèse présente les travaux menés sur l’analyse et la modélisation de l’hétérogénéité tumorale lors de résistance aux traitements. Nous présentons ici un modèle EDP,… (more)

Subjects/Keywords: Modélisation; Simulation numérique; Cancer; Croissance tumorale; Hétérogénéité tumorale; Résistance aux traitements; EDPs; Modeling; Numerical simulation; Cancer; Tumor growth; Tumor heterogeneity; Treatments resistances; PDEs

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lefebvre, G. (2015). Modélisation et analyse de l'hétérogénéité tumorale lors de résistance aux traitements : cas des métastases hépatiques de GIST : Modeling and analysis of tumor heterogeneity during treatments resistance : case of GIST liver metastases. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2015BORD0438

Chicago Manual of Style (16th Edition):

Lefebvre, Guillaume. “Modélisation et analyse de l'hétérogénéité tumorale lors de résistance aux traitements : cas des métastases hépatiques de GIST : Modeling and analysis of tumor heterogeneity during treatments resistance : case of GIST liver metastases.” 2015. Doctoral Dissertation, Bordeaux. Accessed January 23, 2019. http://www.theses.fr/2015BORD0438.

MLA Handbook (7th Edition):

Lefebvre, Guillaume. “Modélisation et analyse de l'hétérogénéité tumorale lors de résistance aux traitements : cas des métastases hépatiques de GIST : Modeling and analysis of tumor heterogeneity during treatments resistance : case of GIST liver metastases.” 2015. Web. 23 Jan 2019.

Vancouver:

Lefebvre G. Modélisation et analyse de l'hétérogénéité tumorale lors de résistance aux traitements : cas des métastases hépatiques de GIST : Modeling and analysis of tumor heterogeneity during treatments resistance : case of GIST liver metastases. [Internet] [Doctoral dissertation]. Bordeaux; 2015. [cited 2019 Jan 23]. Available from: http://www.theses.fr/2015BORD0438.

Council of Science Editors:

Lefebvre G. Modélisation et analyse de l'hétérogénéité tumorale lors de résistance aux traitements : cas des métastases hépatiques de GIST : Modeling and analysis of tumor heterogeneity during treatments resistance : case of GIST liver metastases. [Doctoral Dissertation]. Bordeaux; 2015. Available from: http://www.theses.fr/2015BORD0438

25. Tryfonidis, Konstantinos. Μελέτη των μεταβολών της έκφρασης γονιδίων που σχετίζονται με το μεταβολισμό και την δράση χημειοθεραπευτικών στον πρωτοπαθή όγκο και στους επιχώριους και μεσοθωρακικούς διηθημένους λεμφαδένες σε χειρουργήσιμο μη μικροκυτταρικό καρκίνο του πνεύμονα (ΜΜΚΚΠ).

Degree: 2018, University of Crete (UOC); Πανεπιστήμιο Κρήτης

Differences in gene expression levels between the primary tumors (PTs) and matched regional lymph nodal metastases (LNs) in patients with totally excised non- small cell… (more)

Subjects/Keywords: Μη μικροκυτταρικός καρκίνος πνεύμονα (ΜΜΚΠ); Γονιδιακή έκφραση; Πρωτοπαθής όγκος; Λεμφαδένες; Επικουρική χημειοθεραπεία; Ετερογένεια του όγκου; Non- small cell lung cancer; Gene expression; Primary Tumor; Lymph nodes; Adjuvant chemotherapy; Tumor heterogeneity

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APA (6th Edition):

Tryfonidis, K. (2018). Μελέτη των μεταβολών της έκφρασης γονιδίων που σχετίζονται με το μεταβολισμό και την δράση χημειοθεραπευτικών στον πρωτοπαθή όγκο και στους επιχώριους και μεσοθωρακικούς διηθημένους λεμφαδένες σε χειρουργήσιμο μη μικροκυτταρικό καρκίνο του πνεύμονα (ΜΜΚΚΠ). (Thesis). University of Crete (UOC); Πανεπιστήμιο Κρήτης. Retrieved from http://hdl.handle.net/10442/hedi/44127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tryfonidis, Konstantinos. “Μελέτη των μεταβολών της έκφρασης γονιδίων που σχετίζονται με το μεταβολισμό και την δράση χημειοθεραπευτικών στον πρωτοπαθή όγκο και στους επιχώριους και μεσοθωρακικούς διηθημένους λεμφαδένες σε χειρουργήσιμο μη μικροκυτταρικό καρκίνο του πνεύμονα (ΜΜΚΚΠ).” 2018. Thesis, University of Crete (UOC); Πανεπιστήμιο Κρήτης. Accessed January 23, 2019. http://hdl.handle.net/10442/hedi/44127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tryfonidis, Konstantinos. “Μελέτη των μεταβολών της έκφρασης γονιδίων που σχετίζονται με το μεταβολισμό και την δράση χημειοθεραπευτικών στον πρωτοπαθή όγκο και στους επιχώριους και μεσοθωρακικούς διηθημένους λεμφαδένες σε χειρουργήσιμο μη μικροκυτταρικό καρκίνο του πνεύμονα (ΜΜΚΚΠ).” 2018. Web. 23 Jan 2019.

Vancouver:

Tryfonidis K. Μελέτη των μεταβολών της έκφρασης γονιδίων που σχετίζονται με το μεταβολισμό και την δράση χημειοθεραπευτικών στον πρωτοπαθή όγκο και στους επιχώριους και μεσοθωρακικούς διηθημένους λεμφαδένες σε χειρουργήσιμο μη μικροκυτταρικό καρκίνο του πνεύμονα (ΜΜΚΚΠ). [Internet] [Thesis]. University of Crete (UOC); Πανεπιστήμιο Κρήτης; 2018. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/10442/hedi/44127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tryfonidis K. Μελέτη των μεταβολών της έκφρασης γονιδίων που σχετίζονται με το μεταβολισμό και την δράση χημειοθεραπευτικών στον πρωτοπαθή όγκο και στους επιχώριους και μεσοθωρακικούς διηθημένους λεμφαδένες σε χειρουργήσιμο μη μικροκυτταρικό καρκίνο του πνεύμονα (ΜΜΚΚΠ). [Thesis]. University of Crete (UOC); Πανεπιστήμιο Κρήτης; 2018. Available from: http://hdl.handle.net/10442/hedi/44127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kyoto University / 京都大学

26. Narabayashi, Masaru. Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors : 肺腫瘍に対する体幹部定位放射線治療における不均質補正法が標的線量に与える影響の評価.

Degree: 博士(医学), 2015, Kyoto University / 京都大学

新制・論文博士

乙第12916号

論医博第2091号

Subjects/Keywords: heterogeneity correction; lung tumor; Monte Carlo dose calculation; stereotactic body radiation therapy

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APA (6th Edition):

Narabayashi, M. (2015). Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors : 肺腫瘍に対する体幹部定位放射線治療における不均質補正法が標的線量に与える影響の評価. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/198933 ; http://dx.doi.org/10.14989/doctor.r12916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Narabayashi, Masaru. “Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors : 肺腫瘍に対する体幹部定位放射線治療における不均質補正法が標的線量に与える影響の評価.” 2015. Thesis, Kyoto University / 京都大学. Accessed January 23, 2019. http://hdl.handle.net/2433/198933 ; http://dx.doi.org/10.14989/doctor.r12916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Narabayashi, Masaru. “Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors : 肺腫瘍に対する体幹部定位放射線治療における不均質補正法が標的線量に与える影響の評価.” 2015. Web. 23 Jan 2019.

Vancouver:

Narabayashi M. Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors : 肺腫瘍に対する体幹部定位放射線治療における不均質補正法が標的線量に与える影響の評価. [Internet] [Thesis]. Kyoto University / 京都大学; 2015. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/2433/198933 ; http://dx.doi.org/10.14989/doctor.r12916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Narabayashi M. Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors : 肺腫瘍に対する体幹部定位放射線治療における不均質補正法が標的線量に与える影響の評価. [Thesis]. Kyoto University / 京都大学; 2015. Available from: http://hdl.handle.net/2433/198933 ; http://dx.doi.org/10.14989/doctor.r12916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Ρονιώτης, Αλέξανδρος. Glioma growth modeling.

Degree: 2013, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης

4th-grade glioma (Glioblastoma multiforme) is the most aggressive type of brain cancer. Several mathematical models have been developed towards identifying the mechanism of tumor growth.… (more)

Subjects/Keywords: Πολύμορφο γλοιοβλάστωμα; Μοντελοποίηση καρκίνου; ΕΞΙΣΩΣΗ ΔΙΑΧΥΣΗΣ; Προσομοίωση; Ετερογένεια ιστού; Καρκίνος; Υπολογιστική ογκολογία; Ανισοτροπική διάχυση; Glioblastoma multiforme; Cancer modeling; Diffusion equation; Simulation; Tissue heterogeneity; Tumor; Computational oncology; Anisotropic diffusion

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ρονιώτης, . . (2013). Glioma growth modeling. (Thesis). Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Retrieved from http://hdl.handle.net/10442/hedi/34885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ρονιώτης, Αλέξανδρος. “Glioma growth modeling.” 2013. Thesis, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Accessed January 23, 2019. http://hdl.handle.net/10442/hedi/34885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ρονιώτης, Αλέξανδρος. “Glioma growth modeling.” 2013. Web. 23 Jan 2019.

Vancouver:

Ρονιώτης . Glioma growth modeling. [Internet] [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 2013. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/10442/hedi/34885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ρονιώτης . Glioma growth modeling. [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 2013. Available from: http://hdl.handle.net/10442/hedi/34885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Ontario

28. Tong, Jessica. Oncolytic Virus Therapy for the Treatment of Metastatic Ovarian Cancer.

Degree: 2016, University of Western Ontario

 The management of patients with epithelial ovarian cancer (EOC) faces two major challenges which standard treatments fail to effectively address: 1) Diffuse metastasis as a… (more)

Subjects/Keywords: ovarian cancer; oncolytic virus; cancer therapy; metastasis; tumor heterogeneity; Cancer Biology; Cell Biology; Medical Cell Biology; Medical Microbiology; Obstetrics and Gynecology; Oncology; Virology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tong, J. (2016). Oncolytic Virus Therapy for the Treatment of Metastatic Ovarian Cancer. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tong, Jessica. “Oncolytic Virus Therapy for the Treatment of Metastatic Ovarian Cancer.” 2016. Thesis, University of Western Ontario. Accessed January 23, 2019. https://ir.lib.uwo.ca/etd/3707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tong, Jessica. “Oncolytic Virus Therapy for the Treatment of Metastatic Ovarian Cancer.” 2016. Web. 23 Jan 2019.

Vancouver:

Tong J. Oncolytic Virus Therapy for the Treatment of Metastatic Ovarian Cancer. [Internet] [Thesis]. University of Western Ontario; 2016. [cited 2019 Jan 23]. Available from: https://ir.lib.uwo.ca/etd/3707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tong J. Oncolytic Virus Therapy for the Treatment of Metastatic Ovarian Cancer. [Thesis]. University of Western Ontario; 2016. Available from: https://ir.lib.uwo.ca/etd/3707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kyoto University

29. Narabayashi, Masaru. Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors .

Degree: 2015, Kyoto University

Subjects/Keywords: heterogeneity correction; lung tumor; Monte Carlo dose calculation; stereotactic body radiation therapy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Narabayashi, M. (2015). Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors . (Thesis). Kyoto University. Retrieved from http://hdl.handle.net/2433/198933

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Narabayashi, Masaru. “Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors .” 2015. Thesis, Kyoto University. Accessed January 23, 2019. http://hdl.handle.net/2433/198933.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Narabayashi, Masaru. “Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors .” 2015. Web. 23 Jan 2019.

Vancouver:

Narabayashi M. Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors . [Internet] [Thesis]. Kyoto University; 2015. [cited 2019 Jan 23]. Available from: http://hdl.handle.net/2433/198933.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Narabayashi M. Dosimetric evaluation of the impacts of different heterogeneity correction algorithms on target doses in stereotactic body radiation therapy for lung tumors . [Thesis]. Kyoto University; 2015. Available from: http://hdl.handle.net/2433/198933

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Denicolaï, Emilie. Hétérogénéité des glioblastomes et mise en évidence de nouvelles approches thérapeutiques : Glioblastomas' heterogeneity and highlighting new therapeutic approaches.

Degree: Docteur es, Pathologie humaine. Oncologie, 2015, Aix Marseille Université

Les glioblastomes sont les tumeurs primitives cérébrales les plus fréquentes chez l’adulte et les plus agressives. L’objectif de cette thèse était de mieux comprendre l’hétérogénéité… (more)

Subjects/Keywords: Glioblastomes; Hétérogénéité; Traitement; Proscillaridine A; Localisation tumorale; Cellule souche tumorale; A2b5; ST8SiaIII; Glioblastomas; Heterogeneity; Treatment; Proscillaridin A; Tumor location; Cancer stem cell; A2b5; ST8Sia III

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Denicolaï, E. (2015). Hétérogénéité des glioblastomes et mise en évidence de nouvelles approches thérapeutiques : Glioblastomas' heterogeneity and highlighting new therapeutic approaches. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2015AIXM5003

Chicago Manual of Style (16th Edition):

Denicolaï, Emilie. “Hétérogénéité des glioblastomes et mise en évidence de nouvelles approches thérapeutiques : Glioblastomas' heterogeneity and highlighting new therapeutic approaches.” 2015. Doctoral Dissertation, Aix Marseille Université. Accessed January 23, 2019. http://www.theses.fr/2015AIXM5003.

MLA Handbook (7th Edition):

Denicolaï, Emilie. “Hétérogénéité des glioblastomes et mise en évidence de nouvelles approches thérapeutiques : Glioblastomas' heterogeneity and highlighting new therapeutic approaches.” 2015. Web. 23 Jan 2019.

Vancouver:

Denicolaï E. Hétérogénéité des glioblastomes et mise en évidence de nouvelles approches thérapeutiques : Glioblastomas' heterogeneity and highlighting new therapeutic approaches. [Internet] [Doctoral dissertation]. Aix Marseille Université 2015. [cited 2019 Jan 23]. Available from: http://www.theses.fr/2015AIXM5003.

Council of Science Editors:

Denicolaï E. Hétérogénéité des glioblastomes et mise en évidence de nouvelles approches thérapeutiques : Glioblastomas' heterogeneity and highlighting new therapeutic approaches. [Doctoral Dissertation]. Aix Marseille Université 2015. Available from: http://www.theses.fr/2015AIXM5003

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