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You searched for subject:(Boolean network). Showing records 1 – 30 of 45 total matches.

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Texas A&M University

1. Varghese, Rajani Rajan. Boolean Network Model of Hypoxia Stress Response Pathway.

Degree: MS, Electrical Engineering, 2014, Texas A&M University

 Hypoxic stress is a consequence of the decrease in the oxygen reaching the tissues of the body. The coupling of energy with oxygen makes low… (more)

Subjects/Keywords: hypoxia; Boolean network

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APA (6th Edition):

Varghese, R. R. (2014). Boolean Network Model of Hypoxia Stress Response Pathway. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152506

Chicago Manual of Style (16th Edition):

Varghese, Rajani Rajan. “Boolean Network Model of Hypoxia Stress Response Pathway.” 2014. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/152506.

MLA Handbook (7th Edition):

Varghese, Rajani Rajan. “Boolean Network Model of Hypoxia Stress Response Pathway.” 2014. Web. 04 Dec 2020.

Vancouver:

Varghese RR. Boolean Network Model of Hypoxia Stress Response Pathway. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/152506.

Council of Science Editors:

Varghese RR. Boolean Network Model of Hypoxia Stress Response Pathway. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152506


Virginia Tech

2. Kadelka, Claus Thomas. Robustness Analysis of Gene Regulatory Networks.

Degree: PhD, Mathematics, 2015, Virginia Tech

 Cells generally manage to maintain stable phenotypes in the face of widely varying environmental conditions. This fact is particularly surprising since the key step of… (more)

Subjects/Keywords: Boolean network; gene regulation; stability

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APA (6th Edition):

Kadelka, C. T. (2015). Robustness Analysis of Gene Regulatory Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73302

Chicago Manual of Style (16th Edition):

Kadelka, Claus Thomas. “Robustness Analysis of Gene Regulatory Networks.” 2015. Doctoral Dissertation, Virginia Tech. Accessed December 04, 2020. http://hdl.handle.net/10919/73302.

MLA Handbook (7th Edition):

Kadelka, Claus Thomas. “Robustness Analysis of Gene Regulatory Networks.” 2015. Web. 04 Dec 2020.

Vancouver:

Kadelka CT. Robustness Analysis of Gene Regulatory Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10919/73302.

Council of Science Editors:

Kadelka CT. Robustness Analysis of Gene Regulatory Networks. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73302


University of Rochester

3. Conner, Ryan Patrick. Investigating PSGL-1 Dysregulation During HIV-1 Infection.

Degree: PhD, 2017, University of Rochester

 The Human Immunodeficiency Virus (HIV) infects approximately 3 million people worldwide. While combined AntiRetroviral Therapy (cART) has led to a significant decrease in mortality, it… (more)

Subjects/Keywords: HIV; Monocyte; Boolean network; PSGL-1

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APA (6th Edition):

Conner, R. P. (2017). Investigating PSGL-1 Dysregulation During HIV-1 Infection. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/32908

Chicago Manual of Style (16th Edition):

Conner, Ryan Patrick. “Investigating PSGL-1 Dysregulation During HIV-1 Infection.” 2017. Doctoral Dissertation, University of Rochester. Accessed December 04, 2020. http://hdl.handle.net/1802/32908.

MLA Handbook (7th Edition):

Conner, Ryan Patrick. “Investigating PSGL-1 Dysregulation During HIV-1 Infection.” 2017. Web. 04 Dec 2020.

Vancouver:

Conner RP. Investigating PSGL-1 Dysregulation During HIV-1 Infection. [Internet] [Doctoral dissertation]. University of Rochester; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1802/32908.

Council of Science Editors:

Conner RP. Investigating PSGL-1 Dysregulation During HIV-1 Infection. [Doctoral Dissertation]. University of Rochester; 2017. Available from: http://hdl.handle.net/1802/32908


University of Manchester

4. Tian, Kun. Logical models of DNA damage induced pathways to cancer.

Degree: PhD, 2013, University of Manchester

 Chemotherapy is commonly used in cancer treatments, however only 25% of cancers are responsive and a significant proportion develops resistance. The p53 tumour suppressor is… (more)

Subjects/Keywords: 616.99; Cancer; System Biology; p53; Boolean Network

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APA (6th Edition):

Tian, K. (2013). Logical models of DNA damage induced pathways to cancer. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/logical-models-of-dna-damage-induced-pathways-to-cancer(4bab4869-0156-4c3c-ad93-a81363ff2d5b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607386

Chicago Manual of Style (16th Edition):

Tian, Kun. “Logical models of DNA damage induced pathways to cancer.” 2013. Doctoral Dissertation, University of Manchester. Accessed December 04, 2020. https://www.research.manchester.ac.uk/portal/en/theses/logical-models-of-dna-damage-induced-pathways-to-cancer(4bab4869-0156-4c3c-ad93-a81363ff2d5b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607386.

MLA Handbook (7th Edition):

Tian, Kun. “Logical models of DNA damage induced pathways to cancer.” 2013. Web. 04 Dec 2020.

Vancouver:

Tian K. Logical models of DNA damage induced pathways to cancer. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2020 Dec 04]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/logical-models-of-dna-damage-induced-pathways-to-cancer(4bab4869-0156-4c3c-ad93-a81363ff2d5b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607386.

Council of Science Editors:

Tian K. Logical models of DNA damage induced pathways to cancer. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/logical-models-of-dna-damage-induced-pathways-to-cancer(4bab4869-0156-4c3c-ad93-a81363ff2d5b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607386


Penn State University

5. Yang, Gang. Network Control and Damage Mitigation in Complex Networked System.

Degree: 2018, Penn State University

 Dynamical models have been successfully employed to study how different molecular components give rise to to cellular functions in biological systems. Such models are of… (more)

Subjects/Keywords: Network Control; Network Dynamics; Boolean Network; Damage Mitigation; Logical Modelling

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APA (6th Edition):

Yang, G. (2018). Network Control and Damage Mitigation in Complex Networked System. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14957gzy105

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):

Yang, Gang. “Network Control and Damage Mitigation in Complex Networked System.” 2018. Thesis, Penn State University. Accessed December 04, 2020. https://submit-etda.libraries.psu.edu/catalog/14957gzy105.

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

MLA Handbook (7th Edition):

Yang, Gang. “Network Control and Damage Mitigation in Complex Networked System.” 2018. Web. 04 Dec 2020.

Vancouver:

Yang G. Network Control and Damage Mitigation in Complex Networked System. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Dec 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/14957gzy105.

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

Council of Science Editors:

Yang G. Network Control and Damage Mitigation in Complex Networked System. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/14957gzy105

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


Texas A&M University

6. Ghaffari, Noushin. Genomic Regulatory Networks, Reduction Mappings and Control.

Degree: PhD, Computer Engineering, 2012, Texas A&M University

 All high-level living organisms are made of small cell units, containing DNA, RNA, genes, proteins etc. Genes are important components of the cells and it… (more)

Subjects/Keywords: Genetic regulatory networks; Translational genomics; control policy; intervention; probabilistic Boolean network; boolean networks; synthetic netwroks

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APA (6th Edition):

Ghaffari, N. (2012). Genomic Regulatory Networks, Reduction Mappings and Control. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726

Chicago Manual of Style (16th Edition):

Ghaffari, Noushin. “Genomic Regulatory Networks, Reduction Mappings and Control.” 2012. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726.

MLA Handbook (7th Edition):

Ghaffari, Noushin. “Genomic Regulatory Networks, Reduction Mappings and Control.” 2012. Web. 04 Dec 2020.

Vancouver:

Ghaffari N. Genomic Regulatory Networks, Reduction Mappings and Control. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726.

Council of Science Editors:

Ghaffari N. Genomic Regulatory Networks, Reduction Mappings and Control. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726


Penn State University

7. Yang, Xiao. Use Boolean Network to Model and Control Within- and Between-Person Dynamics.

Degree: 2020, Penn State University

 This body of work introduces and forwards a Boolean network-based method for studying psychological dynamics, both within-person and between-persons. I outline the Boolean network method,… (more)

Subjects/Keywords: psychological dynamics; boolean network; network control; emotion regulation; group process

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APA (6th Edition):

Yang, X. (2020). Use Boolean Network to Model and Control Within- and Between-Person Dynamics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17942xfy5031

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):

Yang, Xiao. “Use Boolean Network to Model and Control Within- and Between-Person Dynamics.” 2020. Thesis, Penn State University. Accessed December 04, 2020. https://submit-etda.libraries.psu.edu/catalog/17942xfy5031.

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

MLA Handbook (7th Edition):

Yang, Xiao. “Use Boolean Network to Model and Control Within- and Between-Person Dynamics.” 2020. Web. 04 Dec 2020.

Vancouver:

Yang X. Use Boolean Network to Model and Control Within- and Between-Person Dynamics. [Internet] [Thesis]. Penn State University; 2020. [cited 2020 Dec 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/17942xfy5031.

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

Council of Science Editors:

Yang X. Use Boolean Network to Model and Control Within- and Between-Person Dynamics. [Thesis]. Penn State University; 2020. Available from: https://submit-etda.libraries.psu.edu/catalog/17942xfy5031

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

8. Patricio, Vitor Hugo Louzada. Canalização: fenótipos robustos como consequência de características da rede de regulação gênica.

Degree: Mestrado, Bioinformática, 2011, University of São Paulo

Em sistemas biológicos, o estudo da estabilidade das redes de regulação gênica é visto como uma contribuição importante que a Matemática pode proporcionar a pesquisas… (more)

Subjects/Keywords: boolean network; canalização; canalization; complex network; gene regulatory network; redes booleanas; redes complexas; redes gênicas

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APA (6th Edition):

Patricio, V. H. L. (2011). Canalização: fenótipos robustos como consequência de características da rede de regulação gênica. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/95/95131/tde-30052011-223151/ ;

Chicago Manual of Style (16th Edition):

Patricio, Vitor Hugo Louzada. “Canalização: fenótipos robustos como consequência de características da rede de regulação gênica.” 2011. Masters Thesis, University of São Paulo. Accessed December 04, 2020. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-30052011-223151/ ;.

MLA Handbook (7th Edition):

Patricio, Vitor Hugo Louzada. “Canalização: fenótipos robustos como consequência de características da rede de regulação gênica.” 2011. Web. 04 Dec 2020.

Vancouver:

Patricio VHL. Canalização: fenótipos robustos como consequência de características da rede de regulação gênica. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2020 Dec 04]. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-30052011-223151/ ;.

Council of Science Editors:

Patricio VHL. Canalização: fenótipos robustos como consequência de características da rede de regulação gênica. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-30052011-223151/ ;


Penn State University

9. 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 December 04, 2020. 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. 04 Dec 2020.

Vancouver:

Sun Z. Analysis and Logical Modeling of Biological Signaling Transduction Networks. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 04]. 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


Clemson University

10. Jenkins, Andy. A Boolean Network Model of the L-Arabinose Operon.

Degree: MS, Mathematical Science, 2016, Clemson University

 The regulation of gene expression is essential for the maintenance of homeostasis within an organism. Thus, the ability to predict which genes are expressed and… (more)

Subjects/Keywords: algebraic biology; arabinose; Boolean network; discrete dynamical system; operon

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APA (6th Edition):

Jenkins, A. (2016). A Boolean Network Model of the L-Arabinose Operon. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2399

Chicago Manual of Style (16th Edition):

Jenkins, Andy. “A Boolean Network Model of the L-Arabinose Operon.” 2016. Masters Thesis, Clemson University. Accessed December 04, 2020. https://tigerprints.clemson.edu/all_theses/2399.

MLA Handbook (7th Edition):

Jenkins, Andy. “A Boolean Network Model of the L-Arabinose Operon.” 2016. Web. 04 Dec 2020.

Vancouver:

Jenkins A. A Boolean Network Model of the L-Arabinose Operon. [Internet] [Masters thesis]. Clemson University; 2016. [cited 2020 Dec 04]. Available from: https://tigerprints.clemson.edu/all_theses/2399.

Council of Science Editors:

Jenkins A. A Boolean Network Model of the L-Arabinose Operon. [Masters Thesis]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_theses/2399


Vanderbilt University

11. Udyavar, Akshata Ramrao. Quantifying phenotypic heterogeneity in small-cell lung cancer: implications for subtype classification and treatment.

Degree: PhD, Chemical and Physical Biology, 2015, Vanderbilt University

 Oncogenic mechanisms in small-cell lung cancer (SCLC) remain poorly understood leaving this tumor with the worst prognosis among all lung cancers. Unlike other cancer types,… (more)

Subjects/Keywords: boolean model; co-expression network analysis; phenotypic heterogeneity; small cell lung cancer SCLC; lung cancer

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APA (6th Edition):

Udyavar, A. R. (2015). Quantifying phenotypic heterogeneity in small-cell lung cancer: implications for subtype classification and treatment. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10816

Chicago Manual of Style (16th Edition):

Udyavar, Akshata Ramrao. “Quantifying phenotypic heterogeneity in small-cell lung cancer: implications for subtype classification and treatment.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed December 04, 2020. http://hdl.handle.net/1803/10816.

MLA Handbook (7th Edition):

Udyavar, Akshata Ramrao. “Quantifying phenotypic heterogeneity in small-cell lung cancer: implications for subtype classification and treatment.” 2015. Web. 04 Dec 2020.

Vancouver:

Udyavar AR. Quantifying phenotypic heterogeneity in small-cell lung cancer: implications for subtype classification and treatment. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1803/10816.

Council of Science Editors:

Udyavar AR. Quantifying phenotypic heterogeneity in small-cell lung cancer: implications for subtype classification and treatment. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/10816


Vanderbilt University

12. Wooten, David Jordan. Mathematical Modeling of Heterogeneity and Drug Response in Lung Cancer.

Degree: PhD, Cancer Biology, 2018, Vanderbilt University

 Technological advances have led to increasingly powerful and precise quantification of biological systems. These advances create a need for robust mathematical and computational approaches that… (more)

Subjects/Keywords: gene regulatory network; boolean model; drug combination; synergy; heterogeneity; sclc; transcription factor; reprogramming; cancer

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APA (6th Edition):

Wooten, D. J. (2018). Mathematical Modeling of Heterogeneity and Drug Response in Lung Cancer. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14064

Chicago Manual of Style (16th Edition):

Wooten, David Jordan. “Mathematical Modeling of Heterogeneity and Drug Response in Lung Cancer.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 04, 2020. http://hdl.handle.net/1803/14064.

MLA Handbook (7th Edition):

Wooten, David Jordan. “Mathematical Modeling of Heterogeneity and Drug Response in Lung Cancer.” 2018. Web. 04 Dec 2020.

Vancouver:

Wooten DJ. Mathematical Modeling of Heterogeneity and Drug Response in Lung Cancer. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1803/14064.

Council of Science Editors:

Wooten DJ. Mathematical Modeling of Heterogeneity and Drug Response in Lung Cancer. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/14064


University of Illinois – Chicago

13. Diochnos, Dimitrios. Analysis of Algorithms in Learning Theory and Network Analysis of Knowledge Bases.

Degree: 2013, University of Illinois – Chicago

 This thesis is concerned with problems that arise in learning theory as well as with an investigation, using the tools of network analysis, of a… (more)

Subjects/Keywords: evolvability; multiple-instance learning; active learning; knowledge bases; network analysis; Boolean functions

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APA (6th Edition):

Diochnos, D. (2013). Analysis of Algorithms in Learning Theory and Network Analysis of Knowledge Bases. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/10366

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):

Diochnos, Dimitrios. “Analysis of Algorithms in Learning Theory and Network Analysis of Knowledge Bases.” 2013. Thesis, University of Illinois – Chicago. Accessed December 04, 2020. http://hdl.handle.net/10027/10366.

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

MLA Handbook (7th Edition):

Diochnos, Dimitrios. “Analysis of Algorithms in Learning Theory and Network Analysis of Knowledge Bases.” 2013. Web. 04 Dec 2020.

Vancouver:

Diochnos D. Analysis of Algorithms in Learning Theory and Network Analysis of Knowledge Bases. [Internet] [Thesis]. University of Illinois – Chicago; 2013. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10027/10366.

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

Council of Science Editors:

Diochnos D. Analysis of Algorithms in Learning Theory and Network Analysis of Knowledge Bases. [Thesis]. University of Illinois – Chicago; 2013. Available from: http://hdl.handle.net/10027/10366

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


University of Melbourne

14. Downing, Nicholas Ronald. Scheduling and rostering with learning constraint solvers.

Degree: 2016, University of Melbourne

 In this research we investigate using Constraint Programming (CP) with Lazy Clause Generation (LCG), that is, constraint solvers with nogood learning, to tackle a number… (more)

Subjects/Keywords: constraint programming; lazy clause generation; boolean satisfiability; alldifferent; network flow; unsatisfiable core; scheduling; rostering; optimization

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APA (6th Edition):

Downing, N. R. (2016). Scheduling and rostering with learning constraint solvers. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/129704

Chicago Manual of Style (16th Edition):

Downing, Nicholas Ronald. “Scheduling and rostering with learning constraint solvers.” 2016. Doctoral Dissertation, University of Melbourne. Accessed December 04, 2020. http://hdl.handle.net/11343/129704.

MLA Handbook (7th Edition):

Downing, Nicholas Ronald. “Scheduling and rostering with learning constraint solvers.” 2016. Web. 04 Dec 2020.

Vancouver:

Downing NR. Scheduling and rostering with learning constraint solvers. [Internet] [Doctoral dissertation]. University of Melbourne; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11343/129704.

Council of Science Editors:

Downing NR. Scheduling and rostering with learning constraint solvers. [Doctoral Dissertation]. University of Melbourne; 2016. Available from: http://hdl.handle.net/11343/129704


Duke University

15. Cheng, Xianrui. Mechanistic Modeling and Experiments on Cell Fate Specification in the Sea Urchin Embryo .

Degree: 2012, Duke University

  During embryogenesis, a single zygote gives rise to a multicellular embryo with distinct spatial territories marked by differential gene expression. How is this patterning… (more)

Subjects/Keywords: Bioinformatics; Developmental biology; Physics; Boolean model; Dynamics; Embryonic development; Gene regulation; Network; Pattern formation

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APA (6th Edition):

Cheng, X. (2012). Mechanistic Modeling and Experiments on Cell Fate Specification in the Sea Urchin Embryo . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/6119

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):

Cheng, Xianrui. “Mechanistic Modeling and Experiments on Cell Fate Specification in the Sea Urchin Embryo .” 2012. Thesis, Duke University. Accessed December 04, 2020. http://hdl.handle.net/10161/6119.

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

MLA Handbook (7th Edition):

Cheng, Xianrui. “Mechanistic Modeling and Experiments on Cell Fate Specification in the Sea Urchin Embryo .” 2012. Web. 04 Dec 2020.

Vancouver:

Cheng X. Mechanistic Modeling and Experiments on Cell Fate Specification in the Sea Urchin Embryo . [Internet] [Thesis]. Duke University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10161/6119.

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

Council of Science Editors:

Cheng X. Mechanistic Modeling and Experiments on Cell Fate Specification in the Sea Urchin Embryo . [Thesis]. Duke University; 2012. Available from: http://hdl.handle.net/10161/6119

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


Louisiana State University

16. Li, Shoupei. Design of linear Boolean network codes for combination networks.

Degree: MS, Electrical and Computer Engineering, 2006, Louisiana State University

Network coding is a promising technique to improve the throughput of communication networks. In the thesis, we investigate linear Boolean network codes on a special… (more)

Subjects/Keywords: min-cut max-flow; combination network; network coding; linear boolean network codes

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

APA (6th Edition):

Li, S. (2006). Design of linear Boolean network codes for combination networks. (Masters Thesis). Louisiana State University. Retrieved from etd-04032006-004254 ; https://digitalcommons.lsu.edu/gradschool_theses/3850

Chicago Manual of Style (16th Edition):

Li, Shoupei. “Design of linear Boolean network codes for combination networks.” 2006. Masters Thesis, Louisiana State University. Accessed December 04, 2020. etd-04032006-004254 ; https://digitalcommons.lsu.edu/gradschool_theses/3850.

MLA Handbook (7th Edition):

Li, Shoupei. “Design of linear Boolean network codes for combination networks.” 2006. Web. 04 Dec 2020.

Vancouver:

Li S. Design of linear Boolean network codes for combination networks. [Internet] [Masters thesis]. Louisiana State University; 2006. [cited 2020 Dec 04]. Available from: etd-04032006-004254 ; https://digitalcommons.lsu.edu/gradschool_theses/3850.

Council of Science Editors:

Li S. Design of linear Boolean network codes for combination networks. [Masters Thesis]. Louisiana State University; 2006. Available from: etd-04032006-004254 ; https://digitalcommons.lsu.edu/gradschool_theses/3850

17. Noronha, Melline Fontes. Dinâmica da Fermentação Alcóolica: Aplicação de Redes Booleanas na Dinâmica de Expressão Gênica em Linhagens de Saccharomyces Cerevisiae durante o Processo Fermentativo.

Degree: Mestrado, Bioinformática, 2012, University of São Paulo

Na busca por soluções que maximizem a produção de etanol, o melhoramento genético de diferentes linhagens de levedura tornou-se foco de investigação em diversos centros… (more)

Subjects/Keywords: bioetanol; bioethanol; genes regulatory networks Boolean Network.; levedura; linhagem PE-2; modelo booleano.; PE-2 strain; redes de regulação gênica; yeast

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

APA (6th Edition):

Noronha, M. F. (2012). Dinâmica da Fermentação Alcóolica: Aplicação de Redes Booleanas na Dinâmica de Expressão Gênica em Linhagens de Saccharomyces Cerevisiae durante o Processo Fermentativo. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29112012-144348/ ;

Chicago Manual of Style (16th Edition):

Noronha, Melline Fontes. “Dinâmica da Fermentação Alcóolica: Aplicação de Redes Booleanas na Dinâmica de Expressão Gênica em Linhagens de Saccharomyces Cerevisiae durante o Processo Fermentativo.” 2012. Masters Thesis, University of São Paulo. Accessed December 04, 2020. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29112012-144348/ ;.

MLA Handbook (7th Edition):

Noronha, Melline Fontes. “Dinâmica da Fermentação Alcóolica: Aplicação de Redes Booleanas na Dinâmica de Expressão Gênica em Linhagens de Saccharomyces Cerevisiae durante o Processo Fermentativo.” 2012. Web. 04 Dec 2020.

Vancouver:

Noronha MF. Dinâmica da Fermentação Alcóolica: Aplicação de Redes Booleanas na Dinâmica de Expressão Gênica em Linhagens de Saccharomyces Cerevisiae durante o Processo Fermentativo. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2020 Dec 04]. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29112012-144348/ ;.

Council of Science Editors:

Noronha MF. Dinâmica da Fermentação Alcóolica: Aplicação de Redes Booleanas na Dinâmica de Expressão Gênica em Linhagens de Saccharomyces Cerevisiae durante o Processo Fermentativo. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29112012-144348/ ;

18. Tian, Kun. Logical models of DNA damage induced pathways to cancer.

Degree: 2013, University of Manchester

This thesis with the title:”Logical models of DNA damage induced pathways to cancer” was completed by Kun Tian for his PhD degree in the University… (more)

Subjects/Keywords: Cancer; System Biology; p53; Boolean Network

…Extraction Systems in Biology BN Boolean network BNIP3L BCL2/adenovirus E1B 19kDa interacting… …Boolean network models. In this thesis, deterministic models were utilized to analyze the p53… …an insight into the interaction network of p53, the Boolean modelling approach is more… …1.1.3.1 Boolean modelling The Boolean network (BN) is a modelling technique used for… …x28;2009) constructed a Boolean network based on literature searches and described the… 

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

APA (6th Edition):

Tian, K. (2013). Logical models of DNA damage induced pathways to cancer. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215794

Chicago Manual of Style (16th Edition):

Tian, Kun. “Logical models of DNA damage induced pathways to cancer.” 2013. Doctoral Dissertation, University of Manchester. Accessed December 04, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215794.

MLA Handbook (7th Edition):

Tian, Kun. “Logical models of DNA damage induced pathways to cancer.” 2013. Web. 04 Dec 2020.

Vancouver:

Tian K. Logical models of DNA damage induced pathways to cancer. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2020 Dec 04]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215794.

Council of Science Editors:

Tian K. Logical models of DNA damage induced pathways to cancer. [Doctoral Dissertation]. University of Manchester; 2013. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215794

19. Lim, Chee Yee. Understanding transcriptional regulation through computational analysis of single-cell transcriptomics.

Degree: PhD, 2017, University of Cambridge

 Gene expression is tightly regulated by complex transcriptional regulatory mechanisms to achieve specific expression patterns, which are essential to facilitate important biological processes such as… (more)

Subjects/Keywords: Bioinformatics; Single-cell RNAseq; Gene network inference; Boolean model; Autoregression model; Epiblast stem cell; Leukaemia; Pseudotime inference

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

APA (6th Edition):

Lim, C. Y. (2017). Understanding transcriptional regulation through computational analysis of single-cell transcriptomics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/267786

Chicago Manual of Style (16th Edition):

Lim, Chee Yee. “Understanding transcriptional regulation through computational analysis of single-cell transcriptomics.” 2017. Doctoral Dissertation, University of Cambridge. Accessed December 04, 2020. https://www.repository.cam.ac.uk/handle/1810/267786.

MLA Handbook (7th Edition):

Lim, Chee Yee. “Understanding transcriptional regulation through computational analysis of single-cell transcriptomics.” 2017. Web. 04 Dec 2020.

Vancouver:

Lim CY. Understanding transcriptional regulation through computational analysis of single-cell transcriptomics. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2020 Dec 04]. Available from: https://www.repository.cam.ac.uk/handle/1810/267786.

Council of Science Editors:

Lim CY. Understanding transcriptional regulation through computational analysis of single-cell transcriptomics. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/267786


University of Florida

20. Ay,Ferhat. A Comparative Study on Biological Networks Alignment and Structural Properties.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Biological networks encapsulate invaluable information about the roles of different biochemical entities and their interactions with each other. Analyzing these networks is essential in order… (more)

Subjects/Keywords: Algorithms; Bioinformatics; Boolean data; Databases; Enzymes; Matrices; Metabolism; Modular structures; Topology; Vertices; alignment  – biological  – mapping  – metabolic  – network  – pathway  – regulatory  – subnetwork

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

APA (6th Edition):

Ay,Ferhat. (2011). A Comparative Study on Biological Networks Alignment and Structural Properties. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043283

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

Chicago Manual of Style (16th Edition):

Ay,Ferhat. “A Comparative Study on Biological Networks Alignment and Structural Properties.” 2011. Doctoral Dissertation, University of Florida. Accessed December 04, 2020. https://ufdc.ufl.edu/UFE0043283.

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

MLA Handbook (7th Edition):

Ay,Ferhat. “A Comparative Study on Biological Networks Alignment and Structural Properties.” 2011. Web. 04 Dec 2020.

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

Vancouver:

Ay,Ferhat. A Comparative Study on Biological Networks Alignment and Structural Properties. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Dec 04]. Available from: https://ufdc.ufl.edu/UFE0043283.

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

Council of Science Editors:

Ay,Ferhat. A Comparative Study on Biological Networks Alignment and Structural Properties. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043283

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


University of Cambridge

21. Lim, Chee Yee. Understanding transcriptional regulation through computational analysis of single-cell transcriptomics.

Degree: PhD, 2017, University of Cambridge

 Gene expression is tightly regulated by complex transcriptional regulatory mechanisms to achieve specific expression patterns, which are essential to facilitate important biological processes such as… (more)

Subjects/Keywords: 616.99; Bioinformatics; Single-cell RNAseq; Gene network inference; Boolean model; Autoregression model; Epiblast stem cell; Leukaemia; Pseudotime inference

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

APA (6th Edition):

Lim, C. Y. (2017). Understanding transcriptional regulation through computational analysis of single-cell transcriptomics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.13717 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725542

Chicago Manual of Style (16th Edition):

Lim, Chee Yee. “Understanding transcriptional regulation through computational analysis of single-cell transcriptomics.” 2017. Doctoral Dissertation, University of Cambridge. Accessed December 04, 2020. https://doi.org/10.17863/CAM.13717 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725542.

MLA Handbook (7th Edition):

Lim, Chee Yee. “Understanding transcriptional regulation through computational analysis of single-cell transcriptomics.” 2017. Web. 04 Dec 2020.

Vancouver:

Lim CY. Understanding transcriptional regulation through computational analysis of single-cell transcriptomics. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2020 Dec 04]. Available from: https://doi.org/10.17863/CAM.13717 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725542.

Council of Science Editors:

Lim CY. Understanding transcriptional regulation through computational analysis of single-cell transcriptomics. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://doi.org/10.17863/CAM.13717 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725542


Texas A&M University

22. Layek, Ritwik. Pathways, Networks and Therapy: A Boolean Approach to Systems Biology.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 The area of systems biology evolved in an attempt to introduce mathematical systems theory principles in biology. Although we believe that all biological processes are… (more)

Subjects/Keywords: Systems Biology; Boolean Network; Probabilistic Boolean Network; Markov Chain; State transition diagram; Dynamic Programming; Therapeutic Intervention; Karnaugh Map; Signal Transduction Pathways; Regulatory Networks; DNA damage pathways; P53; Cancer; Cell Cycle; Growth Factor Mediated Pathways; Targeted Therapy; Combination Drug; Genetic Mutation; Stuck-at Faults; Fault Detection; Fault Classification

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APA (6th Edition):

Layek, R. (2012). Pathways, Networks and Therapy: A Boolean Approach to Systems Biology. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829

Chicago Manual of Style (16th Edition):

Layek, Ritwik. “Pathways, Networks and Therapy: A Boolean Approach to Systems Biology.” 2012. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829.

MLA Handbook (7th Edition):

Layek, Ritwik. “Pathways, Networks and Therapy: A Boolean Approach to Systems Biology.” 2012. Web. 04 Dec 2020.

Vancouver:

Layek R. Pathways, Networks and Therapy: A Boolean Approach to Systems Biology. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829.

Council of Science Editors:

Layek R. Pathways, Networks and Therapy: A Boolean Approach to Systems Biology. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829


Brno University of Technology

23. Mrnuštík, Michal. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.

Degree: 2020, Brno University of Technology

 This master's thesis introduces the Random Boolean Networks as a developmental model in the evolutionary design. The representation of the Random Boolean Networks is described.… (more)

Subjects/Keywords: Evoluční algoritmus; development; booleovská síť; kombinační obvod; řadicí síť; obrazový filtr.; Evolutionary design; development; Random Boolean Network; combinational circuit; sorting network; image filter.

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

APA (6th Edition):

Mrnuštík, M. (2020). Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190105

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):

Mrnuštík, Michal. “Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.” 2020. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/190105.

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

MLA Handbook (7th Edition):

Mrnuštík, Michal. “Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.” 2020. Web. 04 Dec 2020.

Vancouver:

Mrnuštík M. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/190105.

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

Council of Science Editors:

Mrnuštík M. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190105

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


Brno University of Technology

24. Mrnuštík, Michal. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.

Degree: 2019, Brno University of Technology

 This master's thesis introduces the Random Boolean Networks as a developmental model in the evolutionary design. The representation of the Random Boolean Networks is described.… (more)

Subjects/Keywords: Evoluční algoritmus; development; booleovská síť;  kombinační obvod; řadicí síť; obrazový filtr.; Evolutionary design; development; Random Boolean Network;   combinational circuit; sorting network; image filter.

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

APA (6th Edition):

Mrnuštík, M. (2019). Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54263

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):

Mrnuštík, Michal. “Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.” 2019. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/54263.

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

MLA Handbook (7th Edition):

Mrnuštík, Michal. “Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.” 2019. Web. 04 Dec 2020.

Vancouver:

Mrnuštík M. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/54263.

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

Council of Science Editors:

Mrnuštík M. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54263

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


Brno University of Technology

25. Mrnuštík, Michal. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.

Degree: 2020, Brno University of Technology

 This master's thesis introduces the Random Boolean Networks as a developmental model in the evolutionary design. The representation of the Random Boolean Networks is described.… (more)

Subjects/Keywords: Evoluční algoritmus; development; booleovská síť; kombinační obvod; řadicí síť; obrazový filtr.; Evolutionary design; development; Random Boolean Network; combinational circuit; sorting network; image filter.

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

APA (6th Edition):

Mrnuštík, M. (2020). Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188682

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):

Mrnuštík, Michal. “Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.” 2020. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/188682.

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

MLA Handbook (7th Edition):

Mrnuštík, Michal. “Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks.” 2020. Web. 04 Dec 2020.

Vancouver:

Mrnuštík M. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/188682.

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

Council of Science Editors:

Mrnuštík M. Evoluční návrh využívající booleovské sítě: Evolutionary Design Using Random Boolean Networks. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188682

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. Lu, Wei. Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction : 代謝ネットワークの最小反応修正による制約充足のための整数計画法を用いた計算手法.

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

新制・課程博士

甲第19112号

情博第558号

Subjects/Keywords: Integer Programming; Metabolic Network; Minimum Reaction Modifications; Constraint Satisfcation; Boolean Model

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

APA (6th Edition):

Lu, W. (2015). Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction : 代謝ネットワークの最小反応修正による制約充足のための整数計画法を用いた計算手法. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/199436 ; http://dx.doi.org/10.14989/doctor.k19112

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):

Lu, Wei. “Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction : 代謝ネットワークの最小反応修正による制約充足のための整数計画法を用いた計算手法.” 2015. Thesis, Kyoto University / 京都大学. Accessed December 04, 2020. http://hdl.handle.net/2433/199436 ; http://dx.doi.org/10.14989/doctor.k19112.

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

MLA Handbook (7th Edition):

Lu, Wei. “Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction : 代謝ネットワークの最小反応修正による制約充足のための整数計画法を用いた計算手法.” 2015. Web. 04 Dec 2020.

Vancouver:

Lu W. Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction : 代謝ネットワークの最小反応修正による制約充足のための整数計画法を用いた計算手法. [Internet] [Thesis]. Kyoto University / 京都大学; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/2433/199436 ; http://dx.doi.org/10.14989/doctor.k19112.

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

Council of Science Editors:

Lu W. Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction : 代謝ネットワークの最小反応修正による制約充足のための整数計画法を用いた計算手法. [Thesis]. Kyoto University / 京都大学; 2015. Available from: http://hdl.handle.net/2433/199436 ; http://dx.doi.org/10.14989/doctor.k19112

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


Lincoln University

27. Waidyarathne, K. P. Modelling dynamics of Abscisic Acid (ABA) signalling network in plant guard cells to induce stomatal closure in response to drought stress.

Degree: 2015, Lincoln University

 The phytohormone abscisic acid (ABA) is an endogenous messenger in plant abiotic stress responses. Drought stress increases the level of ABA triggering the fastest adaptive… (more)

Subjects/Keywords: stomatal closure; ABA signalling; boolean network; attractors; continuous modelling; 060114 Systems Biology; 060111 Signal Transduction; 060102 Bioinformatics; 080110 Simulation and Modelling; 010204 Dynamical Systems in Applications; 010202 Biological Mathematics

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APA (6th Edition):

Waidyarathne, K. P. (2015). Modelling dynamics of Abscisic Acid (ABA) signalling network in plant guard cells to induce stomatal closure in response to drought stress. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/6616

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):

Waidyarathne, K P. “Modelling dynamics of Abscisic Acid (ABA) signalling network in plant guard cells to induce stomatal closure in response to drought stress.” 2015. Thesis, Lincoln University. Accessed December 04, 2020. http://hdl.handle.net/10182/6616.

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

MLA Handbook (7th Edition):

Waidyarathne, K P. “Modelling dynamics of Abscisic Acid (ABA) signalling network in plant guard cells to induce stomatal closure in response to drought stress.” 2015. Web. 04 Dec 2020.

Vancouver:

Waidyarathne KP. Modelling dynamics of Abscisic Acid (ABA) signalling network in plant guard cells to induce stomatal closure in response to drought stress. [Internet] [Thesis]. Lincoln University; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10182/6616.

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

Council of Science Editors:

Waidyarathne KP. Modelling dynamics of Abscisic Acid (ABA) signalling network in plant guard cells to induce stomatal closure in response to drought stress. [Thesis]. Lincoln University; 2015. Available from: http://hdl.handle.net/10182/6616

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


Freie Universität Berlin

28. Klarner, Hannes. Beiträge zur Analyse von Qualitativen Modellen Genregulatorischer Netzwerke.

Degree: 2015, Freie Universität Berlin

 Diese Arbeit beschäftigt sich mit drei Herausforderungen, die beim Modellieren von regulatorischen Netzwerken und der Signaltransduktion auftreten. Zunächst beschreiben wir den logischen Formalismus, der von… (more)

Subjects/Keywords: boolean networks; logical network; gene regulation; signaling networks; qualitative modeling; attractors; time series; 500 Naturwissenschaften und Mathematik::510 Mathematik; 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie

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APA (6th Edition):

Klarner, H. (2015). Beiträge zur Analyse von Qualitativen Modellen Genregulatorischer Netzwerke. (Thesis). Freie Universität Berlin. Retrieved from http://dx.doi.org/10.17169/refubium-13160

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):

Klarner, Hannes. “Beiträge zur Analyse von Qualitativen Modellen Genregulatorischer Netzwerke.” 2015. Thesis, Freie Universität Berlin. Accessed December 04, 2020. http://dx.doi.org/10.17169/refubium-13160.

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

MLA Handbook (7th Edition):

Klarner, Hannes. “Beiträge zur Analyse von Qualitativen Modellen Genregulatorischer Netzwerke.” 2015. Web. 04 Dec 2020.

Vancouver:

Klarner H. Beiträge zur Analyse von Qualitativen Modellen Genregulatorischer Netzwerke. [Internet] [Thesis]. Freie Universität Berlin; 2015. [cited 2020 Dec 04]. Available from: http://dx.doi.org/10.17169/refubium-13160.

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

Council of Science Editors:

Klarner H. Beiträge zur Analyse von Qualitativen Modellen Genregulatorischer Netzwerke. [Thesis]. Freie Universität Berlin; 2015. Available from: http://dx.doi.org/10.17169/refubium-13160

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

29. Lindlöf, Angelica. Deriving Genetic Networks from Gene Expression Data and Prior Knowledge.

Degree: Computer Science, 2001, University of Skövde

  In this work three different approaches for deriving genetic association networks were tested. The three approaches were Pearson correlation, an algorithm based on the… (more)

Subjects/Keywords: Genetic networks; Homology; Gene expression data; Correlation measurement; Boolean network; Bioinformatics; Bioinformatik

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

APA (6th Edition):

Lindlöf, A. (2001). Deriving Genetic Networks from Gene Expression Data and Prior Knowledge. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-589

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):

Lindlöf, Angelica. “Deriving Genetic Networks from Gene Expression Data and Prior Knowledge.” 2001. Thesis, University of Skövde. Accessed December 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-589.

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

MLA Handbook (7th Edition):

Lindlöf, Angelica. “Deriving Genetic Networks from Gene Expression Data and Prior Knowledge.” 2001. Web. 04 Dec 2020.

Vancouver:

Lindlöf A. Deriving Genetic Networks from Gene Expression Data and Prior Knowledge. [Internet] [Thesis]. University of Skövde; 2001. [cited 2020 Dec 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-589.

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

Council of Science Editors:

Lindlöf A. Deriving Genetic Networks from Gene Expression Data and Prior Knowledge. [Thesis]. University of Skövde; 2001. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-589

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

30. Lu, Wei. Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction .

Degree: 2015, Kyoto University

Subjects/Keywords: Integer Programming; Metabolic Network; Minimum Reaction Modifications; Constraint Satisfcation; Boolean Model

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

APA (6th Edition):

Lu, W. (2015). Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction . (Thesis). Kyoto University. Retrieved from http://hdl.handle.net/2433/199436

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):

Lu, Wei. “Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction .” 2015. Thesis, Kyoto University. Accessed December 04, 2020. http://hdl.handle.net/2433/199436.

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

MLA Handbook (7th Edition):

Lu, Wei. “Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction .” 2015. Web. 04 Dec 2020.

Vancouver:

Lu W. Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction . [Internet] [Thesis]. Kyoto University; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/2433/199436.

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

Council of Science Editors:

Lu W. Integer Programming-based Methods for Computing Minimum Reaction Modifications of Metabolic Networks for Constraint Satisfaction . [Thesis]. Kyoto University; 2015. Available from: http://hdl.handle.net/2433/199436

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

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