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You searched for subject:(Biological networks). Showing records 1 – 30 of 172 total matches.

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University of Sydney

1. McGrane, Martin. Biological Network Distances .

Degree: 2016, University of Sydney

Networks of interactions are increasingly used to model biological systems. The patterns of these networks capture a larger, more complex, representation of the whole than… (more)

Subjects/Keywords: bNED; biological networks

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APA (6th Edition):

McGrane, M. (2016). Biological Network Distances . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/17233

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):

McGrane, Martin. “Biological Network Distances .” 2016. Thesis, University of Sydney. Accessed April 18, 2021. http://hdl.handle.net/2123/17233.

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

MLA Handbook (7th Edition):

McGrane, Martin. “Biological Network Distances .” 2016. Web. 18 Apr 2021.

Vancouver:

McGrane M. Biological Network Distances . [Internet] [Thesis]. University of Sydney; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2123/17233.

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

Council of Science Editors:

McGrane M. Biological Network Distances . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/17233

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


University of Illinois – Chicago

2. Ma, Chihua. Visual Analysis Techniques for Dynamic Biological Networks.

Degree: 2018, University of Illinois – Chicago

 Due to the complexity of biological data that can be collected, modeled and analyzed thanks to technological and algorithmic advancements, the difficulty in studying biological(more)

Subjects/Keywords: Visual Analysis; Dynamic Biological Networks

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APA (6th Edition):

Ma, C. (2018). Visual Analysis Techniques for Dynamic Biological Networks. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22644

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):

Ma, Chihua. “Visual Analysis Techniques for Dynamic Biological Networks.” 2018. Thesis, University of Illinois – Chicago. Accessed April 18, 2021. http://hdl.handle.net/10027/22644.

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

MLA Handbook (7th Edition):

Ma, Chihua. “Visual Analysis Techniques for Dynamic Biological Networks.” 2018. Web. 18 Apr 2021.

Vancouver:

Ma C. Visual Analysis Techniques for Dynamic Biological Networks. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10027/22644.

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

Council of Science Editors:

Ma C. Visual Analysis Techniques for Dynamic Biological Networks. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/22644

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


University of Victoria

3. Quee, Graham. Ramp approximations of finitely steep sigmoid control functions in soft-switching ODE networks.

Degree: Department of Mathematics and Statistics, 2019, University of Victoria

 In models for networks of regulatory interactions in biological molecules, the sigmoid relationship between concentration of regulating bodies and the production rates they control has… (more)

Subjects/Keywords: Glass Networks; ODE; Gene regulation; Biological Regulation; Biological models; switching networks

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APA (6th Edition):

Quee, G. (2019). Ramp approximations of finitely steep sigmoid control functions in soft-switching ODE networks. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/10746

Chicago Manual of Style (16th Edition):

Quee, Graham. “Ramp approximations of finitely steep sigmoid control functions in soft-switching ODE networks.” 2019. Masters Thesis, University of Victoria. Accessed April 18, 2021. http://hdl.handle.net/1828/10746.

MLA Handbook (7th Edition):

Quee, Graham. “Ramp approximations of finitely steep sigmoid control functions in soft-switching ODE networks.” 2019. Web. 18 Apr 2021.

Vancouver:

Quee G. Ramp approximations of finitely steep sigmoid control functions in soft-switching ODE networks. [Internet] [Masters thesis]. University of Victoria; 2019. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1828/10746.

Council of Science Editors:

Quee G. Ramp approximations of finitely steep sigmoid control functions in soft-switching ODE networks. [Masters Thesis]. University of Victoria; 2019. Available from: http://hdl.handle.net/1828/10746


University of Minnesota

4. Koch, Elizabeth. Computational analysis of genetic interaction network structures and gene properties.

Degree: PhD, Computer Science, 2017, University of Minnesota

 Cellular systems are responsible for many complex tasks, such as carrying out cell cycle phases, responding to intra- and extra-cellular conditions, and resolving errors. Through… (more)

Subjects/Keywords: Biological networks; Genetic interactions; Genomics; Pleiotropy; Yeast

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APA (6th Edition):

Koch, E. (2017). Computational analysis of genetic interaction network structures and gene properties. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/190545

Chicago Manual of Style (16th Edition):

Koch, Elizabeth. “Computational analysis of genetic interaction network structures and gene properties.” 2017. Doctoral Dissertation, University of Minnesota. Accessed April 18, 2021. http://hdl.handle.net/11299/190545.

MLA Handbook (7th Edition):

Koch, Elizabeth. “Computational analysis of genetic interaction network structures and gene properties.” 2017. Web. 18 Apr 2021.

Vancouver:

Koch E. Computational analysis of genetic interaction network structures and gene properties. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/11299/190545.

Council of Science Editors:

Koch E. Computational analysis of genetic interaction network structures and gene properties. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/190545

5. Westbrook, Alexandra Michon. Characterization of RNA Genetic Regulators and Synthetic Networks.

Degree: PhD, Chemical Engineering, 2018, Cornell University

 A central tenent of synthetic biology is the ability to predictably engineer complex patterns of gene expression. This fined tuned control allows us to reprogram… (more)

Subjects/Keywords: RNA; Biological control; Bioengineering; Biological Networks; synthetic biology

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APA (6th Edition):

Westbrook, A. M. (2018). Characterization of RNA Genetic Regulators and Synthetic Networks. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59541

Chicago Manual of Style (16th Edition):

Westbrook, Alexandra Michon. “Characterization of RNA Genetic Regulators and Synthetic Networks.” 2018. Doctoral Dissertation, Cornell University. Accessed April 18, 2021. http://hdl.handle.net/1813/59541.

MLA Handbook (7th Edition):

Westbrook, Alexandra Michon. “Characterization of RNA Genetic Regulators and Synthetic Networks.” 2018. Web. 18 Apr 2021.

Vancouver:

Westbrook AM. Characterization of RNA Genetic Regulators and Synthetic Networks. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1813/59541.

Council of Science Editors:

Westbrook AM. Characterization of RNA Genetic Regulators and Synthetic Networks. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59541


Linnaeus University

6. Köstinger, Harald. ViNCent – Visualization of NetworkCentralities.

Degree: Physics and Mathematics, 2011, Linnaeus University

  In the area of information visualization social or biological networks are visualized ina way so that they can be explored easily and one can… (more)

Subjects/Keywords: centralities; network analysis; visualization; social networks; biological networks; graph drawing

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APA (6th Edition):

Köstinger, H. (2011). ViNCent – Visualization of NetworkCentralities. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-10793

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):

Köstinger, Harald. “ViNCent – Visualization of NetworkCentralities.” 2011. Thesis, Linnaeus University. Accessed April 18, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-10793.

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

MLA Handbook (7th Edition):

Köstinger, Harald. “ViNCent – Visualization of NetworkCentralities.” 2011. Web. 18 Apr 2021.

Vancouver:

Köstinger H. ViNCent – Visualization of NetworkCentralities. [Internet] [Thesis]. Linnaeus University; 2011. [cited 2021 Apr 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-10793.

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

Council of Science Editors:

Köstinger H. ViNCent – Visualization of NetworkCentralities. [Thesis]. Linnaeus University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-10793

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


University of Notre Dame

7. Soon-Hyung Yook. From the Topology to the Dynamics of Complex Networks</h1>.

Degree: Physics, 2004, University of Notre Dame

  Understanding the mechanisms governing the behavior of complex networks is a prerequisite for characterizing complex systems. Frequently, networks are modelled as unweighted graphs in… (more)

Subjects/Keywords: Random Networks; Biological Networks

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APA (6th Edition):

Yook, S. (2004). From the Topology to the Dynamics of Complex Networks</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/nv935140w9x

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):

Yook, Soon-Hyung. “From the Topology to the Dynamics of Complex Networks</h1>.” 2004. Thesis, University of Notre Dame. Accessed April 18, 2021. https://curate.nd.edu/show/nv935140w9x.

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

MLA Handbook (7th Edition):

Yook, Soon-Hyung. “From the Topology to the Dynamics of Complex Networks</h1>.” 2004. Web. 18 Apr 2021.

Vancouver:

Yook S. From the Topology to the Dynamics of Complex Networks</h1>. [Internet] [Thesis]. University of Notre Dame; 2004. [cited 2021 Apr 18]. Available from: https://curate.nd.edu/show/nv935140w9x.

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

Council of Science Editors:

Yook S. From the Topology to the Dynamics of Complex Networks</h1>. [Thesis]. University of Notre Dame; 2004. Available from: https://curate.nd.edu/show/nv935140w9x

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

8. Correia, Fernanda Maria dos Reis Brito e Rodrigues. Prediction and analysis of biological networks structure and dynamics .

Degree: 2019, Universidade de Aveiro

 Increasing knowledge about the biological processes that govern the dynamics of living organisms has fostered a better understanding of the origin of many diseases as… (more)

Subjects/Keywords: Biological networks; Protein interaction networks; Network topology; Network modeling; Computational biology

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APA (6th Edition):

Correia, F. M. d. R. B. e. R. (2019). Prediction and analysis of biological networks structure and dynamics . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/29200

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):

Correia, Fernanda Maria dos Reis Brito e Rodrigues. “Prediction and analysis of biological networks structure and dynamics .” 2019. Thesis, Universidade de Aveiro. Accessed April 18, 2021. http://hdl.handle.net/10773/29200.

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

MLA Handbook (7th Edition):

Correia, Fernanda Maria dos Reis Brito e Rodrigues. “Prediction and analysis of biological networks structure and dynamics .” 2019. Web. 18 Apr 2021.

Vancouver:

Correia FMdRBeR. Prediction and analysis of biological networks structure and dynamics . [Internet] [Thesis]. Universidade de Aveiro; 2019. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10773/29200.

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

Council of Science Editors:

Correia FMdRBeR. Prediction and analysis of biological networks structure and dynamics . [Thesis]. Universidade de Aveiro; 2019. Available from: http://hdl.handle.net/10773/29200

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


University of California – Irvine

9. Patel Rajesh, Vishal. Large Scale Integration, Analysis, and Visualization of Biological Data.

Degree: Computer Science, 2014, University of California – Irvine

 Data from decades of life sciences research and literature is being curated and made available for searching and analysis. While considerable work has been done… (more)

Subjects/Keywords: Computer science; Bioinformatics; big data in biology; biological data analysis; biological networks; data integration

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APA (6th Edition):

Patel Rajesh, V. (2014). Large Scale Integration, Analysis, and Visualization of Biological Data. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/2wp2m4n5

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):

Patel Rajesh, Vishal. “Large Scale Integration, Analysis, and Visualization of Biological Data.” 2014. Thesis, University of California – Irvine. Accessed April 18, 2021. http://www.escholarship.org/uc/item/2wp2m4n5.

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

MLA Handbook (7th Edition):

Patel Rajesh, Vishal. “Large Scale Integration, Analysis, and Visualization of Biological Data.” 2014. Web. 18 Apr 2021.

Vancouver:

Patel Rajesh V. Large Scale Integration, Analysis, and Visualization of Biological Data. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2021 Apr 18]. Available from: http://www.escholarship.org/uc/item/2wp2m4n5.

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

Council of Science Editors:

Patel Rajesh V. Large Scale Integration, Analysis, and Visualization of Biological Data. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/2wp2m4n5

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


Virginia Tech

10. Zhang, Bai. Modeling and Characterization of Dynamic Changes in Biological Systems from Multi-platform Genomic Data.

Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech

Biological systems constantly evolve and adapt in response to changed environment and external stimuli at the molecular and genomic levels. Building statistical models that characterize… (more)

Subjects/Keywords: differential dependency networks; biological networks; echo state networks; DNA copy number changes; structural changes in graphical models

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APA (6th Edition):

Zhang, B. (2011). Modeling and Characterization of Dynamic Changes in Biological Systems from Multi-platform Genomic Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29111

Chicago Manual of Style (16th Edition):

Zhang, Bai. “Modeling and Characterization of Dynamic Changes in Biological Systems from Multi-platform Genomic Data.” 2011. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/29111.

MLA Handbook (7th Edition):

Zhang, Bai. “Modeling and Characterization of Dynamic Changes in Biological Systems from Multi-platform Genomic Data.” 2011. Web. 18 Apr 2021.

Vancouver:

Zhang B. Modeling and Characterization of Dynamic Changes in Biological Systems from Multi-platform Genomic Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/29111.

Council of Science Editors:

Zhang B. Modeling and Characterization of Dynamic Changes in Biological Systems from Multi-platform Genomic Data. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/29111


Penn State University

11. Saadatpour Moghaddam, Assieh. Dynamic Modeling of Biological and Physical Systems.

Degree: 2012, Penn State University

 Given the complexity and interactive nature of many biological and physical systems, constructing informative and coherent network models of these systems and subsequently developing efficient… (more)

Subjects/Keywords: Dynamic modeling; Biological networks; Boolean models; Piecewise linear models

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APA (6th Edition):

Saadatpour Moghaddam, A. (2012). Dynamic Modeling of Biological and Physical Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15348

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):

Saadatpour Moghaddam, Assieh. “Dynamic Modeling of Biological and Physical Systems.” 2012. Thesis, Penn State University. Accessed April 18, 2021. https://submit-etda.libraries.psu.edu/catalog/15348.

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

MLA Handbook (7th Edition):

Saadatpour Moghaddam, Assieh. “Dynamic Modeling of Biological and Physical Systems.” 2012. Web. 18 Apr 2021.

Vancouver:

Saadatpour Moghaddam A. Dynamic Modeling of Biological and Physical Systems. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Apr 18]. Available from: https://submit-etda.libraries.psu.edu/catalog/15348.

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

Council of Science Editors:

Saadatpour Moghaddam A. Dynamic Modeling of Biological and Physical Systems. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15348

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


Virginia Commonwealth University

12. Thomas, Sterling. A Novel Method to Detect Functional Subgraphs in Biomolecular Networks.

Degree: PhD, Integrative Life Sciences, 2010, Virginia Commonwealth University

 Several biomolecular pathways governing the control of cellular processes have been discovered over the last several years. Additionally, advances resulting from combining these pathways into… (more)

Subjects/Keywords: Biological Networks; Bioinformatics; Life Sciences

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APA (6th Edition):

Thomas, S. (2010). A Novel Method to Detect Functional Subgraphs in Biomolecular Networks. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/9WVX-AM44 ; https://scholarscompass.vcu.edu/etd/154

Chicago Manual of Style (16th Edition):

Thomas, Sterling. “A Novel Method to Detect Functional Subgraphs in Biomolecular Networks.” 2010. Doctoral Dissertation, Virginia Commonwealth University. Accessed April 18, 2021. https://doi.org/10.25772/9WVX-AM44 ; https://scholarscompass.vcu.edu/etd/154.

MLA Handbook (7th Edition):

Thomas, Sterling. “A Novel Method to Detect Functional Subgraphs in Biomolecular Networks.” 2010. Web. 18 Apr 2021.

Vancouver:

Thomas S. A Novel Method to Detect Functional Subgraphs in Biomolecular Networks. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2010. [cited 2021 Apr 18]. Available from: https://doi.org/10.25772/9WVX-AM44 ; https://scholarscompass.vcu.edu/etd/154.

Council of Science Editors:

Thomas S. A Novel Method to Detect Functional Subgraphs in Biomolecular Networks. [Doctoral Dissertation]. Virginia Commonwealth University; 2010. Available from: https://doi.org/10.25772/9WVX-AM44 ; https://scholarscompass.vcu.edu/etd/154

13. Δημητρακοπούλου, Κωνσταντίνα. Ανάλυση και μοντελοποίηση βιολογικών δικτύων με χρήση δεδομένων από μεγάλης κλίμακας τεχνικές της μοριακής βιολογίας.

Degree: 2013, University of Patras

 Στην εποχή της Συστημικής Ιατρικής, οι τεχνολογίες μαζικής καταγραφής της γονιδιακής και miRNA έκφρασης (π.χ. μικροσυστοιχίες, RNA-seq) αλλά και οι τεχνολογίες ανίχνευσης πρωτεϊνικών αλληλεπιδράσεων (π.χ.… (more)

Subjects/Keywords: Βιολογικά δίκτυα; Συστημική βιολογία; 570.285; Biological networks; Systems biology

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APA (6th Edition):

Δημητρακοπούλου, . (2013). Ανάλυση και μοντελοποίηση βιολογικών δικτύων με χρήση δεδομένων από μεγάλης κλίμακας τεχνικές της μοριακής βιολογίας. (Doctoral Dissertation). University of Patras. Retrieved from http://hdl.handle.net/10889/6965

Chicago Manual of Style (16th Edition):

Δημητρακοπούλου, Κωνσταντίνα. “Ανάλυση και μοντελοποίηση βιολογικών δικτύων με χρήση δεδομένων από μεγάλης κλίμακας τεχνικές της μοριακής βιολογίας.” 2013. Doctoral Dissertation, University of Patras. Accessed April 18, 2021. http://hdl.handle.net/10889/6965.

MLA Handbook (7th Edition):

Δημητρακοπούλου, Κωνσταντίνα. “Ανάλυση και μοντελοποίηση βιολογικών δικτύων με χρήση δεδομένων από μεγάλης κλίμακας τεχνικές της μοριακής βιολογίας.” 2013. Web. 18 Apr 2021.

Vancouver:

Δημητρακοπούλου . Ανάλυση και μοντελοποίηση βιολογικών δικτύων με χρήση δεδομένων από μεγάλης κλίμακας τεχνικές της μοριακής βιολογίας. [Internet] [Doctoral dissertation]. University of Patras; 2013. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10889/6965.

Council of Science Editors:

Δημητρακοπούλου . Ανάλυση και μοντελοποίηση βιολογικών δικτύων με χρήση δεδομένων από μεγάλης κλίμακας τεχνικές της μοριακής βιολογίας. [Doctoral Dissertation]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/6965

14. Yartseva Smidtas, Anastasia. Modélisation incrémentale des réseaux biologiques : Incremental modelling of biological networks.

Degree: Docteur es, Bioinformatique, 2007, Evry-Val d'Essonne

Le domaine scientifique de la Biologie des Systèmes étudie les interactions entre les composantes d'un système biologique afin d'en comprendre son fonctionnement global. Au cours… (more)

Subjects/Keywords: Réseaux biologiques; Biological networks

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APA (6th Edition):

Yartseva Smidtas, A. (2007). Modélisation incrémentale des réseaux biologiques : Incremental modelling of biological networks. (Doctoral Dissertation). Evry-Val d'Essonne. Retrieved from http://www.theses.fr/2007EVRY0025

Chicago Manual of Style (16th Edition):

Yartseva Smidtas, Anastasia. “Modélisation incrémentale des réseaux biologiques : Incremental modelling of biological networks.” 2007. Doctoral Dissertation, Evry-Val d'Essonne. Accessed April 18, 2021. http://www.theses.fr/2007EVRY0025.

MLA Handbook (7th Edition):

Yartseva Smidtas, Anastasia. “Modélisation incrémentale des réseaux biologiques : Incremental modelling of biological networks.” 2007. Web. 18 Apr 2021.

Vancouver:

Yartseva Smidtas A. Modélisation incrémentale des réseaux biologiques : Incremental modelling of biological networks. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; 2007. [cited 2021 Apr 18]. Available from: http://www.theses.fr/2007EVRY0025.

Council of Science Editors:

Yartseva Smidtas A. Modélisation incrémentale des réseaux biologiques : Incremental modelling of biological networks. [Doctoral Dissertation]. Evry-Val d'Essonne; 2007. Available from: http://www.theses.fr/2007EVRY0025

15. TRAN NGOC HIEU. Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data.

Degree: 2013, National University of Singapore

Subjects/Keywords: biological networks; motifs; subnetwork

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APA (6th Edition):

HIEU, T. N. (2013). Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/47504

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):

HIEU, TRAN NGOC. “Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data.” 2013. Thesis, National University of Singapore. Accessed April 18, 2021. http://scholarbank.nus.edu.sg/handle/10635/47504.

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

MLA Handbook (7th Edition):

HIEU, TRAN NGOC. “Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data.” 2013. Web. 18 Apr 2021.

Vancouver:

HIEU TN. Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2021 Apr 18]. Available from: http://scholarbank.nus.edu.sg/handle/10635/47504.

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

Council of Science Editors:

HIEU TN. Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/47504

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


University of Illinois – Urbana-Champaign

16. Deviprasad Rao, Vikyath. Multiscale dynamics in honeybee societies.

Degree: PhD, Physics, 2016, University of Illinois – Urbana-Champaign

 In this dissertation, I examine the social organization of a model organism, the honeybee, at multiple scales. I begin in Part I at the microbial… (more)

Subjects/Keywords: complex systems; biological physics; honey bee; social networks; microbiome; metagenomics

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APA (6th Edition):

Deviprasad Rao, V. (2016). Multiscale dynamics in honeybee societies. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95563

Chicago Manual of Style (16th Edition):

Deviprasad Rao, Vikyath. “Multiscale dynamics in honeybee societies.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/95563.

MLA Handbook (7th Edition):

Deviprasad Rao, Vikyath. “Multiscale dynamics in honeybee societies.” 2016. Web. 18 Apr 2021.

Vancouver:

Deviprasad Rao V. Multiscale dynamics in honeybee societies. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/95563.

Council of Science Editors:

Deviprasad Rao V. Multiscale dynamics in honeybee societies. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95563


University of Minnesota

17. Schaefer, Robert. Integrating Co-Expression Networks with GWAS to Detect Causal Genes For Agronomically Important Traits.

Degree: PhD, Biomedical Informatics and Computational Biology, 2015, University of Minnesota

 The recent availability of high-throughput technologies in agricultural species provides an opportunity to advance our understanding of complex, agronomically important traits. Genome wide association studies… (more)

Subjects/Keywords: arabidopsis; biological networks; Camoco; co-expression; computational biology; maize

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APA (6th Edition):

Schaefer, R. (2015). Integrating Co-Expression Networks with GWAS to Detect Causal Genes For Agronomically Important Traits. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188892

Chicago Manual of Style (16th Edition):

Schaefer, Robert. “Integrating Co-Expression Networks with GWAS to Detect Causal Genes For Agronomically Important Traits.” 2015. Doctoral Dissertation, University of Minnesota. Accessed April 18, 2021. http://hdl.handle.net/11299/188892.

MLA Handbook (7th Edition):

Schaefer, Robert. “Integrating Co-Expression Networks with GWAS to Detect Causal Genes For Agronomically Important Traits.” 2015. Web. 18 Apr 2021.

Vancouver:

Schaefer R. Integrating Co-Expression Networks with GWAS to Detect Causal Genes For Agronomically Important Traits. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/11299/188892.

Council of Science Editors:

Schaefer R. Integrating Co-Expression Networks with GWAS to Detect Causal Genes For Agronomically Important Traits. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/188892


University of Georgia

18. Tang, Xiaojia. Computational systems biology for the biological clock of Neurospora crassa.

Degree: 2014, University of Georgia

 Genetic networks have been applied to describe biological systems, e.g., the biological clock, from a systems biology perspective. A model-driven discovery process, Computing Life, is… (more)

Subjects/Keywords: genetic networks; biological clock; ensemble approach; maximally informative next experiment

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APA (6th Edition):

Tang, X. (2014). Computational systems biology for the biological clock of Neurospora crassa. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/25960

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):

Tang, Xiaojia. “Computational systems biology for the biological clock of Neurospora crassa.” 2014. Thesis, University of Georgia. Accessed April 18, 2021. http://hdl.handle.net/10724/25960.

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

MLA Handbook (7th Edition):

Tang, Xiaojia. “Computational systems biology for the biological clock of Neurospora crassa.” 2014. Web. 18 Apr 2021.

Vancouver:

Tang X. Computational systems biology for the biological clock of Neurospora crassa. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10724/25960.

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

Council of Science Editors:

Tang X. Computational systems biology for the biological clock of Neurospora crassa. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/25960

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


University of Georgia

19. Lim, Chulwoo. Using massively parallel evolutionary computation on GPUS for biological circuit reconstruction.

Degree: 2014, University of Georgia

 A fundamental and ubiquitous difficulty of systems biology is identifying relevant model parameters. A genetic network model of the biological clock of Neurospora crassa that… (more)

Subjects/Keywords: Evolutionary Computing; Biological networks; Graphical processing unit; Runge-Kutta method

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APA (6th Edition):

Lim, C. (2014). Using massively parallel evolutionary computation on GPUS for biological circuit reconstruction. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/29905

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):

Lim, Chulwoo. “Using massively parallel evolutionary computation on GPUS for biological circuit reconstruction.” 2014. Thesis, University of Georgia. Accessed April 18, 2021. http://hdl.handle.net/10724/29905.

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

MLA Handbook (7th Edition):

Lim, Chulwoo. “Using massively parallel evolutionary computation on GPUS for biological circuit reconstruction.” 2014. Web. 18 Apr 2021.

Vancouver:

Lim C. Using massively parallel evolutionary computation on GPUS for biological circuit reconstruction. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10724/29905.

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

Council of Science Editors:

Lim C. Using massively parallel evolutionary computation on GPUS for biological circuit reconstruction. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/29905

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


Virginia Tech

20. Black, Jacob A. Neural Networks For Phase Demodulation In Optical Interferometry.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 Neural Networks (NNs) (or 'deep' neural networks (DNNs)) have found great success in many applications across all fields of engineering, and in particular have found… (more)

Subjects/Keywords: Phase imaging; Neural Networks; Machine Learning; Biological Imaging

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APA (6th Edition):

Black, J. A. (2019). Neural Networks For Phase Demodulation In Optical Interferometry. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93263

Chicago Manual of Style (16th Edition):

Black, Jacob A. “Neural Networks For Phase Demodulation In Optical Interferometry.” 2019. Masters Thesis, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/93263.

MLA Handbook (7th Edition):

Black, Jacob A. “Neural Networks For Phase Demodulation In Optical Interferometry.” 2019. Web. 18 Apr 2021.

Vancouver:

Black JA. Neural Networks For Phase Demodulation In Optical Interferometry. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/93263.

Council of Science Editors:

Black JA. Neural Networks For Phase Demodulation In Optical Interferometry. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93263


Virginia Tech

21. Pokrzywa, Revonda Maria. Systems Biology in an Imperfect World: Modeling Biological Systems with Incomplete Information.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2009, Virginia Tech

 One of the primary goals of systems biology is to understand the complex underlying network of biochemical interactions which allow an organism to respond to… (more)

Subjects/Keywords: Systems Biology; Metabolomics; Biological Networks

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APA (6th Edition):

Pokrzywa, R. M. (2009). Systems Biology in an Imperfect World: Modeling Biological Systems with Incomplete Information. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39938

Chicago Manual of Style (16th Edition):

Pokrzywa, Revonda Maria. “Systems Biology in an Imperfect World: Modeling Biological Systems with Incomplete Information.” 2009. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/39938.

MLA Handbook (7th Edition):

Pokrzywa, Revonda Maria. “Systems Biology in an Imperfect World: Modeling Biological Systems with Incomplete Information.” 2009. Web. 18 Apr 2021.

Vancouver:

Pokrzywa RM. Systems Biology in an Imperfect World: Modeling Biological Systems with Incomplete Information. [Internet] [Doctoral dissertation]. Virginia Tech; 2009. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/39938.

Council of Science Editors:

Pokrzywa RM. Systems Biology in an Imperfect World: Modeling Biological Systems with Incomplete Information. [Doctoral Dissertation]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/39938


Rice University

22. Peterson, Christine. Bayesian graphical models for biological network inference.

Degree: PhD, Engineering, 2013, Rice University

 In this work, we propose approaches for the inference of graphical models in the Bayesian framework. Graphical models, which use a network structure to represent… (more)

Subjects/Keywords: Statistics; Graphical models; Bayesian inference; Informative priors; Biological networks

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APA (6th Edition):

Peterson, C. (2013). Bayesian graphical models for biological network inference. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/77444

Chicago Manual of Style (16th Edition):

Peterson, Christine. “Bayesian graphical models for biological network inference.” 2013. Doctoral Dissertation, Rice University. Accessed April 18, 2021. http://hdl.handle.net/1911/77444.

MLA Handbook (7th Edition):

Peterson, Christine. “Bayesian graphical models for biological network inference.” 2013. Web. 18 Apr 2021.

Vancouver:

Peterson C. Bayesian graphical models for biological network inference. [Internet] [Doctoral dissertation]. Rice University; 2013. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1911/77444.

Council of Science Editors:

Peterson C. Bayesian graphical models for biological network inference. [Doctoral Dissertation]. Rice University; 2013. Available from: http://hdl.handle.net/1911/77444

23. Pirayre, Aurélie. Reconstruction et classification par optimisation dans des graphes avec à priori pour les réseaux de gènes et les images : Reconstruction and clustering with graph optimization and priors on gene networks and images.

Degree: Docteur es, Signal, Image, Automatique, 2017, Université Paris-Est

 Dans de nombreuses applications telles que la médecine, l'environnement ou les biotechnologies par exemple, la découverte de nouveau processus de régulations de gènes permet une… (more)

Subjects/Keywords: Réseaux biologiques; Graphes; A priori; Modèles biologiques; Optimisation; Biological networks; Graphs; A priori; Biological models; Optimization

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

APA (6th Edition):

Pirayre, A. (2017). Reconstruction et classification par optimisation dans des graphes avec à priori pour les réseaux de gènes et les images : Reconstruction and clustering with graph optimization and priors on gene networks and images. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2017PESC1170

Chicago Manual of Style (16th Edition):

Pirayre, Aurélie. “Reconstruction et classification par optimisation dans des graphes avec à priori pour les réseaux de gènes et les images : Reconstruction and clustering with graph optimization and priors on gene networks and images.” 2017. Doctoral Dissertation, Université Paris-Est. Accessed April 18, 2021. http://www.theses.fr/2017PESC1170.

MLA Handbook (7th Edition):

Pirayre, Aurélie. “Reconstruction et classification par optimisation dans des graphes avec à priori pour les réseaux de gènes et les images : Reconstruction and clustering with graph optimization and priors on gene networks and images.” 2017. Web. 18 Apr 2021.

Vancouver:

Pirayre A. Reconstruction et classification par optimisation dans des graphes avec à priori pour les réseaux de gènes et les images : Reconstruction and clustering with graph optimization and priors on gene networks and images. [Internet] [Doctoral dissertation]. Université Paris-Est; 2017. [cited 2021 Apr 18]. Available from: http://www.theses.fr/2017PESC1170.

Council of Science Editors:

Pirayre A. Reconstruction et classification par optimisation dans des graphes avec à priori pour les réseaux de gènes et les images : Reconstruction and clustering with graph optimization and priors on gene networks and images. [Doctoral Dissertation]. Université Paris-Est; 2017. Available from: http://www.theses.fr/2017PESC1170

24. Schuman, Catherine Dorothy. Neuroscience-Inspired Dynamic Architectures.

Degree: 2015, University of Tennessee – Knoxville

Biological brains are some of the most powerful computational devices on Earth. Computer scientists have long drawn inspiration from neuroscience to produce computational tools. This… (more)

Subjects/Keywords: machine learning; neural networks; discrete event simulation; biological networks; optimization algorithms; Artificial Intelligence and Robotics; Theory and Algorithms

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APA (6th Edition):

Schuman, C. D. (2015). Neuroscience-Inspired Dynamic Architectures. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3361

Chicago Manual of Style (16th Edition):

Schuman, Catherine Dorothy. “Neuroscience-Inspired Dynamic Architectures.” 2015. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed April 18, 2021. https://trace.tennessee.edu/utk_graddiss/3361.

MLA Handbook (7th Edition):

Schuman, Catherine Dorothy. “Neuroscience-Inspired Dynamic Architectures.” 2015. Web. 18 Apr 2021.

Vancouver:

Schuman CD. Neuroscience-Inspired Dynamic Architectures. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2015. [cited 2021 Apr 18]. Available from: https://trace.tennessee.edu/utk_graddiss/3361.

Council of Science Editors:

Schuman CD. Neuroscience-Inspired Dynamic Architectures. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2015. Available from: https://trace.tennessee.edu/utk_graddiss/3361

25. Figueiredo, Daniel Oliveira. Logical foundations and computational tools for synthetic biology .

Degree: 2020, Universidade de Aveiro

 The study and development of tools for computational systems is an area where we can easily find diverse works and, nowadays, it is one of… (more)

Subjects/Keywords: Biological regulatory networks; Piecewise linear models; Reactive Boolean networks; Extended asymptotic graph; Bisimulation; Reconfigurability; Reactivity; rPrism; Weighted switch graphs

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APA (6th Edition):

Figueiredo, D. O. (2020). Logical foundations and computational tools for synthetic biology . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/29829

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):

Figueiredo, Daniel Oliveira. “Logical foundations and computational tools for synthetic biology .” 2020. Thesis, Universidade de Aveiro. Accessed April 18, 2021. http://hdl.handle.net/10773/29829.

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

MLA Handbook (7th Edition):

Figueiredo, Daniel Oliveira. “Logical foundations and computational tools for synthetic biology .” 2020. Web. 18 Apr 2021.

Vancouver:

Figueiredo DO. Logical foundations and computational tools for synthetic biology . [Internet] [Thesis]. Universidade de Aveiro; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10773/29829.

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

Council of Science Editors:

Figueiredo DO. Logical foundations and computational tools for synthetic biology . [Thesis]. Universidade de Aveiro; 2020. Available from: http://hdl.handle.net/10773/29829

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


University of California – San Diego

26. Ellen, Jeffrey Scott. Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata.

Degree: Computer Science and Engineering, 2018, University of California – San Diego

 For the past few years, Convolutional Neural Networks have had tremendous impact not only within the field of Computer Science but by 2018 their rapid… (more)

Subjects/Keywords: Artificial intelligence; Biological oceanography; convolutional neural networks; image processing; machine learning; zooplankton

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APA (6th Edition):

Ellen, J. S. (2018). Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/8f18p61p

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):

Ellen, Jeffrey Scott. “Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata.” 2018. Thesis, University of California – San Diego. Accessed April 18, 2021. http://www.escholarship.org/uc/item/8f18p61p.

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

MLA Handbook (7th Edition):

Ellen, Jeffrey Scott. “Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata.” 2018. Web. 18 Apr 2021.

Vancouver:

Ellen JS. Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2021 Apr 18]. Available from: http://www.escholarship.org/uc/item/8f18p61p.

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

Council of Science Editors:

Ellen JS. Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/8f18p61p

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


Anna University

27. Nirmala Devi, M. VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -.

Degree: Information and Communication Engineering, 2014, Anna University

A Biological Neural Network BNN forms the Central Nervous newlineSystem which has highly interconnected neurons to co ordinate all the newlinefunctions like reading and thinking… (more)

Subjects/Keywords: Artificial Neural Networks; Biological Neural Network; Central Nervous System; Very Large Scale Integration

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APA (6th Edition):

Nirmala Devi, M. (2014). VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26986

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):

Nirmala Devi, M. “VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/26986.

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

MLA Handbook (7th Edition):

Nirmala Devi, M. “VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -.” 2014. Web. 18 Apr 2021.

Vancouver:

Nirmala Devi M. VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26986.

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

Council of Science Editors:

Nirmala Devi M. VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26986

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


Penn State University

28. Sun, Zhongyao. Analysis and Logical Modeling of Biological Signaling Transduction Networks.

Degree: 2015, Penn State University

 The study of network theory and its application span across a multitude of seemingly disparate fields of science and technology: computer science, biology, social science,… (more)

Subjects/Keywords: network science; biological networks; discrete dynamics; Boolean network; system biology; network modeling; signal transduction

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APA (6th Edition):

Sun, Z. (2015). Analysis and Logical Modeling of Biological Signaling Transduction Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25268

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):

Sun, Zhongyao. “Analysis and Logical Modeling of Biological Signaling Transduction Networks.” 2015. Thesis, Penn State University. Accessed April 18, 2021. https://submit-etda.libraries.psu.edu/catalog/25268.

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

MLA Handbook (7th Edition):

Sun, Zhongyao. “Analysis and Logical Modeling of Biological Signaling Transduction Networks.” 2015. Web. 18 Apr 2021.

Vancouver:

Sun Z. Analysis and Logical Modeling of Biological Signaling Transduction Networks. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Apr 18]. Available from: https://submit-etda.libraries.psu.edu/catalog/25268.

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

Council of Science Editors:

Sun Z. Analysis and Logical Modeling of Biological Signaling Transduction Networks. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25268

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

29. Linard, Benjamin. Développement de méthodes évolutionnaires d'extraction de connaissance et application à des systèmes biologiques complexes : Development of evolutionary knowledge extraction methods and their application in biological complex systems.

Degree: Docteur es, Bioinformatique, 2012, Université de Strasbourg

La biologie des systèmes s’est beaucoup développée ces dix dernières années, confrontant plusieurs niveaux biologiques (molécule, réseau, tissu, organisme, écosystème…). Du point de vue de… (more)

Subjects/Keywords: Orthologie; Extraction de connaissance; Évolution; Réseaux biologiques; Orthology; Knowledge extraction; Evolution; Biological networks; 576; 006.3

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APA (6th Edition):

Linard, B. (2012). Développement de méthodes évolutionnaires d'extraction de connaissance et application à des systèmes biologiques complexes : Development of evolutionary knowledge extraction methods and their application in biological complex systems. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2012STRAJ044

Chicago Manual of Style (16th Edition):

Linard, Benjamin. “Développement de méthodes évolutionnaires d'extraction de connaissance et application à des systèmes biologiques complexes : Development of evolutionary knowledge extraction methods and their application in biological complex systems.” 2012. Doctoral Dissertation, Université de Strasbourg. Accessed April 18, 2021. http://www.theses.fr/2012STRAJ044.

MLA Handbook (7th Edition):

Linard, Benjamin. “Développement de méthodes évolutionnaires d'extraction de connaissance et application à des systèmes biologiques complexes : Development of evolutionary knowledge extraction methods and their application in biological complex systems.” 2012. Web. 18 Apr 2021.

Vancouver:

Linard B. Développement de méthodes évolutionnaires d'extraction de connaissance et application à des systèmes biologiques complexes : Development of evolutionary knowledge extraction methods and their application in biological complex systems. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2012. [cited 2021 Apr 18]. Available from: http://www.theses.fr/2012STRAJ044.

Council of Science Editors:

Linard B. Développement de méthodes évolutionnaires d'extraction de connaissance et application à des systèmes biologiques complexes : Development of evolutionary knowledge extraction methods and their application in biological complex systems. [Doctoral Dissertation]. Université de Strasbourg; 2012. Available from: http://www.theses.fr/2012STRAJ044


University of Oxford

30. Andrews, Tallulah. Clustering genes by function to understand disease phenotypes.

Degree: PhD, 2015, University of Oxford

 Developmental disorders including: autism, intellectual disability, and congenital abnormalities are present in 3-8% of live births and display a huge amount of phenotypic and genetic… (more)

Subjects/Keywords: 572.8; Computational Biology; Human Genetics; protein-protein interactions; biological networks; copy number variation

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APA (6th Edition):

Andrews, T. (2015). Clustering genes by function to understand disease phenotypes. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:06bfce1f-4ae0-4715-9ee3-290c43ae9b18 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711928

Chicago Manual of Style (16th Edition):

Andrews, Tallulah. “Clustering genes by function to understand disease phenotypes.” 2015. Doctoral Dissertation, University of Oxford. Accessed April 18, 2021. http://ora.ox.ac.uk/objects/uuid:06bfce1f-4ae0-4715-9ee3-290c43ae9b18 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711928.

MLA Handbook (7th Edition):

Andrews, Tallulah. “Clustering genes by function to understand disease phenotypes.” 2015. Web. 18 Apr 2021.

Vancouver:

Andrews T. Clustering genes by function to understand disease phenotypes. [Internet] [Doctoral dissertation]. University of Oxford; 2015. [cited 2021 Apr 18]. Available from: http://ora.ox.ac.uk/objects/uuid:06bfce1f-4ae0-4715-9ee3-290c43ae9b18 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711928.

Council of Science Editors:

Andrews T. Clustering genes by function to understand disease phenotypes. [Doctoral Dissertation]. University of Oxford; 2015. Available from: http://ora.ox.ac.uk/objects/uuid:06bfce1f-4ae0-4715-9ee3-290c43ae9b18 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711928

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