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You searched for subject:(computational phenotype). Showing records 1 – 12 of 12 total matches.

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1. Laraway, Bryan. Comparative analysis of semantic similarity and gene orthology tools for identification of gene candidates for human diseases.

Degree: M.B.I., 2015, Oregon Health Sciences University

Subjects/Keywords: Phenotype; Disease; Genes; Computational Biology

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

APA (6th Edition):

Laraway, B. (2015). Comparative analysis of semantic similarity and gene orthology tools for identification of gene candidates for human diseases. (Thesis). Oregon Health Sciences University. Retrieved from doi:10.6083/M4Z60N1W ; http://digitalcommons.ohsu.edu/etd/3741

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):

Laraway, Bryan. “Comparative analysis of semantic similarity and gene orthology tools for identification of gene candidates for human diseases.” 2015. Thesis, Oregon Health Sciences University. Accessed November 19, 2019. doi:10.6083/M4Z60N1W ; http://digitalcommons.ohsu.edu/etd/3741.

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

MLA Handbook (7th Edition):

Laraway, Bryan. “Comparative analysis of semantic similarity and gene orthology tools for identification of gene candidates for human diseases.” 2015. Web. 19 Nov 2019.

Vancouver:

Laraway B. Comparative analysis of semantic similarity and gene orthology tools for identification of gene candidates for human diseases. [Internet] [Thesis]. Oregon Health Sciences University; 2015. [cited 2019 Nov 19]. Available from: doi:10.6083/M4Z60N1W ; http://digitalcommons.ohsu.edu/etd/3741.

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

Council of Science Editors:

Laraway B. Comparative analysis of semantic similarity and gene orthology tools for identification of gene candidates for human diseases. [Thesis]. Oregon Health Sciences University; 2015. Available from: doi:10.6083/M4Z60N1W ; http://digitalcommons.ohsu.edu/etd/3741

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


Northeastern University

2. Smallwood, Craig. Oxygenation And Pulmonary Mechanics In Critically Ill Children Receiving Mechanical Ventilation: A Computational Phenotype And Machine Learning Approach.

Degree: PhD, Department of Bioengineering, 2018, Northeastern University

 Mechanical ventilation (MV) is a lifesaving therapy applied to critically ill children. A component of MV, positive end-expiratory pressure (PEEP) is often increased to improve… (more)

Subjects/Keywords: computational phenotype; pediatric; respiratory failure; ventilation; Bioinformatics; Physiology; Medicine

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APA (6th Edition):

Smallwood, C. (2018). Oxygenation And Pulmonary Mechanics In Critically Ill Children Receiving Mechanical Ventilation: A Computational Phenotype And Machine Learning Approach. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20316411

Chicago Manual of Style (16th Edition):

Smallwood, Craig. “Oxygenation And Pulmonary Mechanics In Critically Ill Children Receiving Mechanical Ventilation: A Computational Phenotype And Machine Learning Approach.” 2018. Doctoral Dissertation, Northeastern University. Accessed November 19, 2019. http://hdl.handle.net/2047/D20316411.

MLA Handbook (7th Edition):

Smallwood, Craig. “Oxygenation And Pulmonary Mechanics In Critically Ill Children Receiving Mechanical Ventilation: A Computational Phenotype And Machine Learning Approach.” 2018. Web. 19 Nov 2019.

Vancouver:

Smallwood C. Oxygenation And Pulmonary Mechanics In Critically Ill Children Receiving Mechanical Ventilation: A Computational Phenotype And Machine Learning Approach. [Internet] [Doctoral dissertation]. Northeastern University; 2018. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/2047/D20316411.

Council of Science Editors:

Smallwood C. Oxygenation And Pulmonary Mechanics In Critically Ill Children Receiving Mechanical Ventilation: A Computational Phenotype And Machine Learning Approach. [Doctoral Dissertation]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20316411


University of Arizona

3. Herrera-Valdez, Marco Arieli. Geometry and nonlinear dynamics underlying excitability phenotypes in biophysical models of membrane potential .

Degree: 2014, University of Arizona

 The main goal of this dissertation was to study the bifurcation structure underlying families of low dimensional dynamical systems that model cellular excitability. One of… (more)

Subjects/Keywords: Computational neurosciences; Dynamical systems; Electrodiffusion; Excitability phenotype; Membrane potential; Mathematics; Bifurcation

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APA (6th Edition):

Herrera-Valdez, M. A. (2014). Geometry and nonlinear dynamics underlying excitability phenotypes in biophysical models of membrane potential . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/312741

Chicago Manual of Style (16th Edition):

Herrera-Valdez, Marco Arieli. “Geometry and nonlinear dynamics underlying excitability phenotypes in biophysical models of membrane potential .” 2014. Doctoral Dissertation, University of Arizona. Accessed November 19, 2019. http://hdl.handle.net/10150/312741.

MLA Handbook (7th Edition):

Herrera-Valdez, Marco Arieli. “Geometry and nonlinear dynamics underlying excitability phenotypes in biophysical models of membrane potential .” 2014. Web. 19 Nov 2019.

Vancouver:

Herrera-Valdez MA. Geometry and nonlinear dynamics underlying excitability phenotypes in biophysical models of membrane potential . [Internet] [Doctoral dissertation]. University of Arizona; 2014. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/10150/312741.

Council of Science Editors:

Herrera-Valdez MA. Geometry and nonlinear dynamics underlying excitability phenotypes in biophysical models of membrane potential . [Doctoral Dissertation]. University of Arizona; 2014. Available from: http://hdl.handle.net/10150/312741


Iowa State University

4. Belamkar, Vikas. Phenotypic and genetic variation in an Apios americana breeding collection; and characterization of the HD-Zip gene family, involved in abiotic stress responses in Glycine max.

Degree: 2015, Iowa State University

 This dissertation has two main objectives: (1) morphological and genetic characterization of a little-studied edible legume native to North America, Apios americana; and (2) characterization… (more)

Subjects/Keywords: Genetics and Genomics (Computational Molecular Biology); Genetics; Genomics; Genetics and Genomics; Computational Molecular Biology; Apios; Apios americana; Germplasm; Phenotype; Sequencing; Soybean; Agriculture; Botany; Computational Biology; Plant Breeding and Genetics

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APA (6th Edition):

Belamkar, V. (2015). Phenotypic and genetic variation in an Apios americana breeding collection; and characterization of the HD-Zip gene family, involved in abiotic stress responses in Glycine max. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14662

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):

Belamkar, Vikas. “Phenotypic and genetic variation in an Apios americana breeding collection; and characterization of the HD-Zip gene family, involved in abiotic stress responses in Glycine max.” 2015. Thesis, Iowa State University. Accessed November 19, 2019. https://lib.dr.iastate.edu/etd/14662.

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

MLA Handbook (7th Edition):

Belamkar, Vikas. “Phenotypic and genetic variation in an Apios americana breeding collection; and characterization of the HD-Zip gene family, involved in abiotic stress responses in Glycine max.” 2015. Web. 19 Nov 2019.

Vancouver:

Belamkar V. Phenotypic and genetic variation in an Apios americana breeding collection; and characterization of the HD-Zip gene family, involved in abiotic stress responses in Glycine max. [Internet] [Thesis]. Iowa State University; 2015. [cited 2019 Nov 19]. Available from: https://lib.dr.iastate.edu/etd/14662.

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

Council of Science Editors:

Belamkar V. Phenotypic and genetic variation in an Apios americana breeding collection; and characterization of the HD-Zip gene family, involved in abiotic stress responses in Glycine max. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14662

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

5. Catalán Fernández, Pablo. Models in molecular evolution: the case of toyLIFE.

Degree: 2018, Universidad Carlos III de Madrid

Subjects/Keywords: Genotype-phenotype map; Computational model; ToyLIFE; Bioinformática; Matemáticas

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APA (6th Edition):

Catalán Fernández, P. (2018). Models in molecular evolution: the case of toyLIFE. (Thesis). Universidad Carlos III de Madrid. Retrieved from http://hdl.handle.net/10016/25105

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):

Catalán Fernández, Pablo. “Models in molecular evolution: the case of toyLIFE.” 2018. Thesis, Universidad Carlos III de Madrid. Accessed November 19, 2019. http://hdl.handle.net/10016/25105.

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

MLA Handbook (7th Edition):

Catalán Fernández, Pablo. “Models in molecular evolution: the case of toyLIFE.” 2018. Web. 19 Nov 2019.

Vancouver:

Catalán Fernández P. Models in molecular evolution: the case of toyLIFE. [Internet] [Thesis]. Universidad Carlos III de Madrid; 2018. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/10016/25105.

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

Council of Science Editors:

Catalán Fernández P. Models in molecular evolution: the case of toyLIFE. [Thesis]. Universidad Carlos III de Madrid; 2018. Available from: http://hdl.handle.net/10016/25105

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


University of Kentucky

6. Joshi, Shreyas. IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE.

Degree: 2017, University of Kentucky

 Humans spend a third of their lives sleeping but very little is known about the physiological and genetic mechanisms controlling sleep. Increased data from sleep… (more)

Subjects/Keywords: Sleep; Bioinformatics; Gene-Phenotype Association; KOMP2; Predictive Modeling; Complex Traits; Behavioral Neurobiology; Bioinformatics; Computational Biology; Genetics

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

APA (6th Edition):

Joshi, S. (2017). IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/biology_etds/42

Chicago Manual of Style (16th Edition):

Joshi, Shreyas. “IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE.” 2017. Doctoral Dissertation, University of Kentucky. Accessed November 19, 2019. https://uknowledge.uky.edu/biology_etds/42.

MLA Handbook (7th Edition):

Joshi, Shreyas. “IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE.” 2017. Web. 19 Nov 2019.

Vancouver:

Joshi S. IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE. [Internet] [Doctoral dissertation]. University of Kentucky; 2017. [cited 2019 Nov 19]. Available from: https://uknowledge.uky.edu/biology_etds/42.

Council of Science Editors:

Joshi S. IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE. [Doctoral Dissertation]. University of Kentucky; 2017. Available from: https://uknowledge.uky.edu/biology_etds/42

7. M. Notaro. HIERARCHICAL ENSEMBLE METHODS FOR ONTOLOGY-BASED PREDICTIONS IN COMPUTATIONAL BIOLOGY.

Degree: 2019, Università degli Studi di Milano

 L'annotazione standardizzata di entità biologiche, quali geni e proteine, ha fortemente promosso l'organizzazione dei concetti biologici in vocabolari controllati, cioè ontologie che consentono di indicizzare… (more)

Subjects/Keywords: Hierarchical Ensemble Methods; Hierarchical Multi-Label Classification; Human Phenotype Ontology; Gene Ontology; Gene-Abnormal Phenotype Association; Protein Function Prediction; Human Phenotype Ontology Term Prediction; Gene Ontology Term Prediction; Phenotype Gene Prioritization; Bioinformatics; Computational Biology; Machine Learning; Settore INF/01 - Informatica; Settore BIO/11 - Biologia Molecolare; Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni

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APA (6th Edition):

Notaro, M. (2019). HIERARCHICAL ENSEMBLE METHODS FOR ONTOLOGY-BASED PREDICTIONS IN COMPUTATIONAL BIOLOGY. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/606185

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):

Notaro, M.. “HIERARCHICAL ENSEMBLE METHODS FOR ONTOLOGY-BASED PREDICTIONS IN COMPUTATIONAL BIOLOGY.” 2019. Thesis, Università degli Studi di Milano. Accessed November 19, 2019. http://hdl.handle.net/2434/606185.

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

MLA Handbook (7th Edition):

Notaro, M.. “HIERARCHICAL ENSEMBLE METHODS FOR ONTOLOGY-BASED PREDICTIONS IN COMPUTATIONAL BIOLOGY.” 2019. Web. 19 Nov 2019.

Vancouver:

Notaro M. HIERARCHICAL ENSEMBLE METHODS FOR ONTOLOGY-BASED PREDICTIONS IN COMPUTATIONAL BIOLOGY. [Internet] [Thesis]. Università degli Studi di Milano; 2019. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/2434/606185.

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

Council of Science Editors:

Notaro M. HIERARCHICAL ENSEMBLE METHODS FOR ONTOLOGY-BASED PREDICTIONS IN COMPUTATIONAL BIOLOGY. [Thesis]. Università degli Studi di Milano; 2019. Available from: http://hdl.handle.net/2434/606185

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


Texas Medical Center

8. Cai, Guoshuai. RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION.

Degree: PhD, 2013, Texas Medical Center

  My dissertation focuses on two aspects of RNA sequencing technology. The first is the methodology for modeling the overdispersion inherent in RNA-seq data for… (more)

Subjects/Keywords: RNA-Seq; overdispersion; random hexamer primering. Differential expression analysis; CpG island methylator phenotype (CIMP); integration; Bioinformatics; Computational Biology; Life Sciences; Medicine and Health Sciences

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APA (6th Edition):

Cai, G. (2013). RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/386

Chicago Manual of Style (16th Edition):

Cai, Guoshuai. “RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION.” 2013. Doctoral Dissertation, Texas Medical Center. Accessed November 19, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/386.

MLA Handbook (7th Edition):

Cai, Guoshuai. “RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION.” 2013. Web. 19 Nov 2019.

Vancouver:

Cai G. RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION. [Internet] [Doctoral dissertation]. Texas Medical Center; 2013. [cited 2019 Nov 19]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/386.

Council of Science Editors:

Cai G. RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION. [Doctoral Dissertation]. Texas Medical Center; 2013. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/386


University of Gothenburg / Göteborgs Universitet

9. Nelander, Sven 1974-. A genomic approach to smooth muscle differentiation and diversity.

Degree: 2005, University of Gothenburg / Göteborgs Universitet

 Smooth muscle cells (SMCs) are a broad class of contractile cells that are found in a number of organs systems, including the vasculature, the urogenital… (more)

Subjects/Keywords: Keywords: smooth muscle; phenotype; transcriptional regulation; differentiation; transcriptome; microarray; computational prediction; co-expression network; regulatory sequence analysis; gene module; gene battery

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APA (6th Edition):

Nelander, S. 1. (2005). A genomic approach to smooth muscle differentiation and diversity. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/16458

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):

Nelander, Sven 1974-. “A genomic approach to smooth muscle differentiation and diversity.” 2005. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed November 19, 2019. http://hdl.handle.net/2077/16458.

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

MLA Handbook (7th Edition):

Nelander, Sven 1974-. “A genomic approach to smooth muscle differentiation and diversity.” 2005. Web. 19 Nov 2019.

Vancouver:

Nelander S1. A genomic approach to smooth muscle differentiation and diversity. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2005. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/2077/16458.

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

Council of Science Editors:

Nelander S1. A genomic approach to smooth muscle differentiation and diversity. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2005. Available from: http://hdl.handle.net/2077/16458

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


Vanderbilt University

10. Thornton-Wells, Tricia Ann. Confronting Complexity: A Comprehensive Statistical and Computational Strategy for Identifying the Missing Link between Genotype and Phenotype.

Degree: PhD, Neuroscience, 2006, Vanderbilt University

 Common diseases with a genetic basis are likely to have a very complex etiology, in which the mapping between genotype and phenotype is far from… (more)

Subjects/Keywords: genetics; statistical genetics; gene-gene interactions; heterogeneity; Alzheimer disease; Epistasis; cluster analysis; computational analysis; Genetics  – Statistical methods; Phenotype; Alzheimer's disease  – Genetic aspects

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APA (6th Edition):

Thornton-Wells, T. A. (2006). Confronting Complexity: A Comprehensive Statistical and Computational Strategy for Identifying the Missing Link between Genotype and Phenotype. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09272006-120618/ ;

Chicago Manual of Style (16th Edition):

Thornton-Wells, Tricia Ann. “Confronting Complexity: A Comprehensive Statistical and Computational Strategy for Identifying the Missing Link between Genotype and Phenotype.” 2006. Doctoral Dissertation, Vanderbilt University. Accessed November 19, 2019. http://etd.library.vanderbilt.edu/available/etd-09272006-120618/ ;.

MLA Handbook (7th Edition):

Thornton-Wells, Tricia Ann. “Confronting Complexity: A Comprehensive Statistical and Computational Strategy for Identifying the Missing Link between Genotype and Phenotype.” 2006. Web. 19 Nov 2019.

Vancouver:

Thornton-Wells TA. Confronting Complexity: A Comprehensive Statistical and Computational Strategy for Identifying the Missing Link between Genotype and Phenotype. [Internet] [Doctoral dissertation]. Vanderbilt University; 2006. [cited 2019 Nov 19]. Available from: http://etd.library.vanderbilt.edu/available/etd-09272006-120618/ ;.

Council of Science Editors:

Thornton-Wells TA. Confronting Complexity: A Comprehensive Statistical and Computational Strategy for Identifying the Missing Link between Genotype and Phenotype. [Doctoral Dissertation]. Vanderbilt University; 2006. Available from: http://etd.library.vanderbilt.edu/available/etd-09272006-120618/ ;


University of New South Wales

11. Wang, Kun. Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation.

Degree: Engineering & Information Technology, 2013, University of New South Wales

 Existing automatic storytelling approaches are limited in terms of the levels of creativity, coherence and interestingness in their generated stories. We conjecture that the ability… (more)

Subjects/Keywords: story structure; automatic storytelling; computational story generation; hierarchical story structure; novelty; interestingness; human evaluation model; interactive evolutionary computation; story evolution; multi-objective story evolution; human-in-the-loop evaluation; semi-interactive evaluation; story formalism; story grammar; story dependence network; story genome; genotype-phenotype mapping; objective story metrics; subjective story metrics; coherence

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APA (6th Edition):

Wang, K. (2013). Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53120 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11806/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Wang, Kun. “Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation.” 2013. Doctoral Dissertation, University of New South Wales. Accessed November 19, 2019. http://handle.unsw.edu.au/1959.4/53120 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11806/SOURCE01?view=true.

MLA Handbook (7th Edition):

Wang, Kun. “Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation.” 2013. Web. 19 Nov 2019.

Vancouver:

Wang K. Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2019 Nov 19]. Available from: http://handle.unsw.edu.au/1959.4/53120 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11806/SOURCE01?view=true.

Council of Science Editors:

Wang K. Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53120 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11806/SOURCE01?view=true


Georgia Southern University

12. Inozemtseva, Iuliia. Epistasis in Predator-Prey Relationships.

Degree: MSin Mathematics (M.S.), Department of Mathematical Sciences, 2014, Georgia Southern University

  Epistasis is the interaction between two or more genes to control a single phenotype. We model epistasis of the prey in a two-locus two-allele… (more)

Subjects/Keywords: ETD; Predator-prey model; two-locus two-allele model; genetic mutations; Hardy-Weinberg equations; Bombay Phenotype; proportion of gametes; equilibrium points; stabilization; poisonous prey; population size; Biology; Computational Biology; Genetics; Genomics; Numerical Analysis and Scientific Computing; Ordinary Differential Equations and Applied Dynamics; Other Animal Sciences; Other Mathematics; Other Physical Sciences and Mathematics; Population Biology; Jack N. Averitt College of Graduate Studies, Electronic Theses & Dissertations, ETDs, Student Research

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APA (6th Edition):

Inozemtseva, I. (2014). Epistasis in Predator-Prey Relationships. (Masters Thesis). Georgia Southern University. Retrieved from https://digitalcommons.georgiasouthern.edu/etd/1139

Chicago Manual of Style (16th Edition):

Inozemtseva, Iuliia. “Epistasis in Predator-Prey Relationships.” 2014. Masters Thesis, Georgia Southern University. Accessed November 19, 2019. https://digitalcommons.georgiasouthern.edu/etd/1139.

MLA Handbook (7th Edition):

Inozemtseva, Iuliia. “Epistasis in Predator-Prey Relationships.” 2014. Web. 19 Nov 2019.

Vancouver:

Inozemtseva I. Epistasis in Predator-Prey Relationships. [Internet] [Masters thesis]. Georgia Southern University; 2014. [cited 2019 Nov 19]. Available from: https://digitalcommons.georgiasouthern.edu/etd/1139.

Council of Science Editors:

Inozemtseva I. Epistasis in Predator-Prey Relationships. [Masters Thesis]. Georgia Southern University; 2014. Available from: https://digitalcommons.georgiasouthern.edu/etd/1139

.