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You searched for subject:(gene gene interactions). Showing records 1 – 30 of 232 total matches.

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University of Utah

1. Abo, Ryan P. Bioinformatic tools for genetic epidemiology: application to candidate gene analysis in breast cancer.

Degree: PhD, Biomedical Informatics;, 2010, University of Utah

 This dissertation describes the development, implementation, and application of bioinformatic methods and tools. The objective was to provide enhanced methods for the identification of genetic… (more)

Subjects/Keywords: Bioinformatics; Gene-gene interactions; Genetic epidemiology; Haplotypes

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

APA (6th Edition):

Abo, R. P. (2010). Bioinformatic tools for genetic epidemiology: application to candidate gene analysis in breast cancer. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/247/rec/156

Chicago Manual of Style (16th Edition):

Abo, Ryan P. “Bioinformatic tools for genetic epidemiology: application to candidate gene analysis in breast cancer.” 2010. Doctoral Dissertation, University of Utah. Accessed April 10, 2021. http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/247/rec/156.

MLA Handbook (7th Edition):

Abo, Ryan P. “Bioinformatic tools for genetic epidemiology: application to candidate gene analysis in breast cancer.” 2010. Web. 10 Apr 2021.

Vancouver:

Abo RP. Bioinformatic tools for genetic epidemiology: application to candidate gene analysis in breast cancer. [Internet] [Doctoral dissertation]. University of Utah; 2010. [cited 2021 Apr 10]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/247/rec/156.

Council of Science Editors:

Abo RP. Bioinformatic tools for genetic epidemiology: application to candidate gene analysis in breast cancer. [Doctoral Dissertation]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/247/rec/156


University of Alberta

2. Sapkota, Shraddha. Longitudinal Associations of Genetic Polymorphisms and Personality Traits: Independent and Interactive Effects on Neurocognitive Performance in Older Adults.

Degree: MS, Centre for Neuroscience, 2013, University of Alberta

 Research has linked multifaceted neurocognitive phenotypes to genetic polymorphisms and environmental factors. This study examines associations of personality traits and single nucleotide polymorphisms (SNPs) on… (more)

Subjects/Keywords: gene x gene interactions; personality traits; neurocognition

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APA (6th Edition):

Sapkota, S. (2013). Longitudinal Associations of Genetic Polymorphisms and Personality Traits: Independent and Interactive Effects on Neurocognitive Performance in Older Adults. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c534fp52q

Chicago Manual of Style (16th Edition):

Sapkota, Shraddha. “Longitudinal Associations of Genetic Polymorphisms and Personality Traits: Independent and Interactive Effects on Neurocognitive Performance in Older Adults.” 2013. Masters Thesis, University of Alberta. Accessed April 10, 2021. https://era.library.ualberta.ca/files/c534fp52q.

MLA Handbook (7th Edition):

Sapkota, Shraddha. “Longitudinal Associations of Genetic Polymorphisms and Personality Traits: Independent and Interactive Effects on Neurocognitive Performance in Older Adults.” 2013. Web. 10 Apr 2021.

Vancouver:

Sapkota S. Longitudinal Associations of Genetic Polymorphisms and Personality Traits: Independent and Interactive Effects on Neurocognitive Performance in Older Adults. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Apr 10]. Available from: https://era.library.ualberta.ca/files/c534fp52q.

Council of Science Editors:

Sapkota S. Longitudinal Associations of Genetic Polymorphisms and Personality Traits: Independent and Interactive Effects on Neurocognitive Performance in Older Adults. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/c534fp52q


University of New Mexico

3. Baca, Michael. Gene-environment interactions affect long-term depression (LTD) through changes in dopamine D2 receptor affinity in Snap25 haplodeficient mice.

Degree: Biomedical Sciences Graduate Program, 2013, University of New Mexico

 Genes and environmental conditions interact in the development of cognitive capacities and each plays an important role in neuropsychiatric disorders such as attention deficit/hyperactivity disorder… (more)

Subjects/Keywords: Neuroscience; Gene-environment interactions; Electrophysiology

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APA (6th Edition):

Baca, M. (2013). Gene-environment interactions affect long-term depression (LTD) through changes in dopamine D2 receptor affinity in Snap25 haplodeficient mice. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biom_etds/111

Chicago Manual of Style (16th Edition):

Baca, Michael. “Gene-environment interactions affect long-term depression (LTD) through changes in dopamine D2 receptor affinity in Snap25 haplodeficient mice.” 2013. Doctoral Dissertation, University of New Mexico. Accessed April 10, 2021. https://digitalrepository.unm.edu/biom_etds/111.

MLA Handbook (7th Edition):

Baca, Michael. “Gene-environment interactions affect long-term depression (LTD) through changes in dopamine D2 receptor affinity in Snap25 haplodeficient mice.” 2013. Web. 10 Apr 2021.

Vancouver:

Baca M. Gene-environment interactions affect long-term depression (LTD) through changes in dopamine D2 receptor affinity in Snap25 haplodeficient mice. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2021 Apr 10]. Available from: https://digitalrepository.unm.edu/biom_etds/111.

Council of Science Editors:

Baca M. Gene-environment interactions affect long-term depression (LTD) through changes in dopamine D2 receptor affinity in Snap25 haplodeficient mice. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: https://digitalrepository.unm.edu/biom_etds/111


University of Miami

4. Ayala-Haedo, Juan A. Understanding the Role of Novel Gene-Environmental and Gene-Gene Interactions in the Pathogenesis of Age Related Macular Degeneration.

Degree: PhD, Molecular Cell and Developmental Biology (Medicine), 2010, University of Miami

  The purpose of the study was to assess single nucleotide polymorphisms (SNPs) in NOS2 A, ESR1, ESR2 and MMP-2 genes that may affect the… (more)

Subjects/Keywords: Gene-gene And Gene-environmental Interactions; Genetics; AMD

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APA (6th Edition):

Ayala-Haedo, J. A. (2010). Understanding the Role of Novel Gene-Environmental and Gene-Gene Interactions in the Pathogenesis of Age Related Macular Degeneration. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/944

Chicago Manual of Style (16th Edition):

Ayala-Haedo, Juan A. “Understanding the Role of Novel Gene-Environmental and Gene-Gene Interactions in the Pathogenesis of Age Related Macular Degeneration.” 2010. Doctoral Dissertation, University of Miami. Accessed April 10, 2021. https://scholarlyrepository.miami.edu/oa_dissertations/944.

MLA Handbook (7th Edition):

Ayala-Haedo, Juan A. “Understanding the Role of Novel Gene-Environmental and Gene-Gene Interactions in the Pathogenesis of Age Related Macular Degeneration.” 2010. Web. 10 Apr 2021.

Vancouver:

Ayala-Haedo JA. Understanding the Role of Novel Gene-Environmental and Gene-Gene Interactions in the Pathogenesis of Age Related Macular Degeneration. [Internet] [Doctoral dissertation]. University of Miami; 2010. [cited 2021 Apr 10]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/944.

Council of Science Editors:

Ayala-Haedo JA. Understanding the Role of Novel Gene-Environmental and Gene-Gene Interactions in the Pathogenesis of Age Related Macular Degeneration. [Doctoral Dissertation]. University of Miami; 2010. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/944


Penn State University

5. Hall, Molly Ann. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.

Degree: 2015, Penn State University

 Genome-wide association studies (GWAS) have identified numerous loci associated with human phenotypes. This approach, however, does not consider the richly diverse and complex environment with… (more)

Subjects/Keywords: gene-gene interactions; epistasis; PheWAS; phenome; EWAS; exposome; gene-environment interactions; complex traits

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APA (6th Edition):

Hall, M. A. (2015). Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26751

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):

Hall, Molly Ann. “Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.” 2015. Thesis, Penn State University. Accessed April 10, 2021. https://submit-etda.libraries.psu.edu/catalog/26751.

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

MLA Handbook (7th Edition):

Hall, Molly Ann. “Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.” 2015. Web. 10 Apr 2021.

Vancouver:

Hall MA. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Apr 10]. Available from: https://submit-etda.libraries.psu.edu/catalog/26751.

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

Council of Science Editors:

Hall MA. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26751

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


University of Edinburgh

6. Williamson, Luke Jonathan. Characterising gene-gene and gene-environment interactions within the fitness landscape of a snoRNA.

Degree: PhD, 2019, University of Edinburgh

 Empirical fitness landscapes allow a previously hypothetical concept describing the genotype-phenotype relationship to be visualised and dissected. The fitness landscapes of entire molecules have only… (more)

Subjects/Keywords: gene mutations; temperature variations; U3 small nucleolar RNA; snoRNA; gene-gene interactions; changing environment

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APA (6th Edition):

Williamson, L. J. (2019). Characterising gene-gene and gene-environment interactions within the fitness landscape of a snoRNA. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/35823

Chicago Manual of Style (16th Edition):

Williamson, Luke Jonathan. “Characterising gene-gene and gene-environment interactions within the fitness landscape of a snoRNA.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed April 10, 2021. http://hdl.handle.net/1842/35823.

MLA Handbook (7th Edition):

Williamson, Luke Jonathan. “Characterising gene-gene and gene-environment interactions within the fitness landscape of a snoRNA.” 2019. Web. 10 Apr 2021.

Vancouver:

Williamson LJ. Characterising gene-gene and gene-environment interactions within the fitness landscape of a snoRNA. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1842/35823.

Council of Science Editors:

Williamson LJ. Characterising gene-gene and gene-environment interactions within the fitness landscape of a snoRNA. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/35823

7. Han, Bing. DETECTING CANCER-RELATED GENES AND GENE-GENE INTERACTIONS BY MACHINE LEARNING METHODS.

Degree: PhD, Electrical Engineering & Computer Science, 2011, University of Kansas

 To understand the underlying molecular mechanisms of cancer and therefore to improve pathogenesis, prevention, diagnosis and treatment of cancer, it is necessary to explore the… (more)

Subjects/Keywords: Computer science; Bioinformatics; Cancer; Differential gene relations; Gene-gene interactions; Machine learning; System biology

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APA (6th Edition):

Han, B. (2011). DETECTING CANCER-RELATED GENES AND GENE-GENE INTERACTIONS BY MACHINE LEARNING METHODS. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/8781

Chicago Manual of Style (16th Edition):

Han, Bing. “DETECTING CANCER-RELATED GENES AND GENE-GENE INTERACTIONS BY MACHINE LEARNING METHODS.” 2011. Doctoral Dissertation, University of Kansas. Accessed April 10, 2021. http://hdl.handle.net/1808/8781.

MLA Handbook (7th Edition):

Han, Bing. “DETECTING CANCER-RELATED GENES AND GENE-GENE INTERACTIONS BY MACHINE LEARNING METHODS.” 2011. Web. 10 Apr 2021.

Vancouver:

Han B. DETECTING CANCER-RELATED GENES AND GENE-GENE INTERACTIONS BY MACHINE LEARNING METHODS. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1808/8781.

Council of Science Editors:

Han B. DETECTING CANCER-RELATED GENES AND GENE-GENE INTERACTIONS BY MACHINE LEARNING METHODS. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/8781


Texas A&M University

8. Satpathy, Sitanshu. Probabilistic Analysis of Pair Wise Gene Interactions Using Support Vector Clustering.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 The most difficult challenge in genetic epidemiology is to characterize the gene interactions that affect a complex disease. DNA microarray has made it easier for… (more)

Subjects/Keywords: Gene Interactions; Support Vector Clustering; Gaussian Kernel

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APA (6th Edition):

Satpathy, S. (2017). Probabilistic Analysis of Pair Wise Gene Interactions Using Support Vector Clustering. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173093

Chicago Manual of Style (16th Edition):

Satpathy, Sitanshu. “Probabilistic Analysis of Pair Wise Gene Interactions Using Support Vector Clustering.” 2017. Masters Thesis, Texas A&M University. Accessed April 10, 2021. http://hdl.handle.net/1969.1/173093.

MLA Handbook (7th Edition):

Satpathy, Sitanshu. “Probabilistic Analysis of Pair Wise Gene Interactions Using Support Vector Clustering.” 2017. Web. 10 Apr 2021.

Vancouver:

Satpathy S. Probabilistic Analysis of Pair Wise Gene Interactions Using Support Vector Clustering. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1969.1/173093.

Council of Science Editors:

Satpathy S. Probabilistic Analysis of Pair Wise Gene Interactions Using Support Vector Clustering. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173093


University of Southern California

9. Li, Rui "Rachel". Joint analysis of two related studies of different data types and different study designs using hierarchical modeling in detecting gene-environment interactions.

Degree: PhD, Statistical Genetics and Genetic Epidemiology, 2011, University of Southern California

 Identifying causal susceptibility alleles for asthma poses many challenges. These include the multigenic nature of the disease, the lack of reliable assessment of individual exposures,… (more)

Subjects/Keywords: joint modeling; hierarchical modeling; gene-environment interactions

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APA (6th Edition):

Li, R. ". (2011). Joint analysis of two related studies of different data types and different study designs using hierarchical modeling in detecting gene-environment interactions. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673621/rec/3693

Chicago Manual of Style (16th Edition):

Li, Rui "Rachel". “Joint analysis of two related studies of different data types and different study designs using hierarchical modeling in detecting gene-environment interactions.” 2011. Doctoral Dissertation, University of Southern California. Accessed April 10, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673621/rec/3693.

MLA Handbook (7th Edition):

Li, Rui "Rachel". “Joint analysis of two related studies of different data types and different study designs using hierarchical modeling in detecting gene-environment interactions.” 2011. Web. 10 Apr 2021.

Vancouver:

Li R". Joint analysis of two related studies of different data types and different study designs using hierarchical modeling in detecting gene-environment interactions. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Apr 10]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673621/rec/3693.

Council of Science Editors:

Li R". Joint analysis of two related studies of different data types and different study designs using hierarchical modeling in detecting gene-environment interactions. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673621/rec/3693


University of Toronto

10. Ierullo, Matthew. A New Suite of Pathogenesis-induced Gene Expression Markers in Arabidopsis thaliana.

Degree: 2015, University of Toronto

Plant immunity comprises of two main branches. In one branch, plants recognize microbial molecules called pathogen-associated molecular patterns (PAMPs); inducing PAMP-triggered immunity (PTI). Successful pathogens… (more)

Subjects/Keywords: Arabidopsis; Gene marker; Interactions database; Interactions network; Pseudomonas psyringae; 0307

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APA (6th Edition):

Ierullo, M. (2015). A New Suite of Pathogenesis-induced Gene Expression Markers in Arabidopsis thaliana. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/69648

Chicago Manual of Style (16th Edition):

Ierullo, Matthew. “A New Suite of Pathogenesis-induced Gene Expression Markers in Arabidopsis thaliana.” 2015. Masters Thesis, University of Toronto. Accessed April 10, 2021. http://hdl.handle.net/1807/69648.

MLA Handbook (7th Edition):

Ierullo, Matthew. “A New Suite of Pathogenesis-induced Gene Expression Markers in Arabidopsis thaliana.” 2015. Web. 10 Apr 2021.

Vancouver:

Ierullo M. A New Suite of Pathogenesis-induced Gene Expression Markers in Arabidopsis thaliana. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1807/69648.

Council of Science Editors:

Ierullo M. A New Suite of Pathogenesis-induced Gene Expression Markers in Arabidopsis thaliana. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69648


University of Georgia

11. Stephens, Jessica Deene. A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia.

Degree: 2018, University of Georgia

 How species interactions influence ecological and evolutionary processes has been a driving interest among biologists. My dissertation research has largely focused on understanding the ecological… (more)

Subjects/Keywords: gene capture; coalescent; phylogenomics; species tree estimation; plant interactions; plant-insect interactions; plant-microbe interactions

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APA (6th Edition):

Stephens, J. D. (2018). A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37024

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):

Stephens, Jessica Deene. “A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia.” 2018. Thesis, University of Georgia. Accessed April 10, 2021. http://hdl.handle.net/10724/37024.

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

MLA Handbook (7th Edition):

Stephens, Jessica Deene. “A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia.” 2018. Web. 10 Apr 2021.

Vancouver:

Stephens JD. A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia. [Internet] [Thesis]. University of Georgia; 2018. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10724/37024.

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

Council of Science Editors:

Stephens JD. A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/37024

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


University of Georgia

12. Stephens, Jessica Deene. A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia.

Degree: 2018, University of Georgia

 How species interactions influence ecological and evolutionary processes has been a driving interest among biologists. My dissertation research has largely focused on understanding the ecological… (more)

Subjects/Keywords: gene capture; coalescent; phylogenomics; species tree estimation; plant interactions; plant-insect interactions; plant-microbe interactions

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

APA (6th Edition):

Stephens, J. D. (2018). A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37181

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):

Stephens, Jessica Deene. “A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia.” 2018. Thesis, University of Georgia. Accessed April 10, 2021. http://hdl.handle.net/10724/37181.

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

MLA Handbook (7th Edition):

Stephens, Jessica Deene. “A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia.” 2018. Web. 10 Apr 2021.

Vancouver:

Stephens JD. A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia. [Internet] [Thesis]. University of Georgia; 2018. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10724/37181.

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

Council of Science Editors:

Stephens JD. A macroevolutionary perspective on species interactions in the carnivorous pitcher plant genus Sarracenia. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/37181

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


Penn State University

13. Du, Manyu. MECHANISTIC STUDIES OF LONG-DISTANCE GENE REGULATION IN BUDDING YEAST.

Degree: 2019, Penn State University

 Eukaryotic transcription occurs within the nucleus where DNA is packaged into high order chromosome structures. Long-distance chromosomal interactions play very important roles in gene regulation… (more)

Subjects/Keywords: gene expression; 3D genome organization; long-distance chromosomal interactions; 3D gene clustering

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APA (6th Edition):

Du, M. (2019). MECHANISTIC STUDIES OF LONG-DISTANCE GENE REGULATION IN BUDDING YEAST. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17217mxd451

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):

Du, Manyu. “MECHANISTIC STUDIES OF LONG-DISTANCE GENE REGULATION IN BUDDING YEAST.” 2019. Thesis, Penn State University. Accessed April 10, 2021. https://submit-etda.libraries.psu.edu/catalog/17217mxd451.

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

MLA Handbook (7th Edition):

Du, Manyu. “MECHANISTIC STUDIES OF LONG-DISTANCE GENE REGULATION IN BUDDING YEAST.” 2019. Web. 10 Apr 2021.

Vancouver:

Du M. MECHANISTIC STUDIES OF LONG-DISTANCE GENE REGULATION IN BUDDING YEAST. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 10]. Available from: https://submit-etda.libraries.psu.edu/catalog/17217mxd451.

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

Council of Science Editors:

Du M. MECHANISTIC STUDIES OF LONG-DISTANCE GENE REGULATION IN BUDDING YEAST. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17217mxd451

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


University of Louisville

14. Zhang, Jie. Evaluation of methods for analyzing gene-gene interaction data for survival outcomes.

Degree: MS, 2011, University of Louisville

  In recent years, a number of computational and statistical problems for identifying SNP-SNP interactions in high dimensional survival data have been studied, and several… (more)

Subjects/Keywords: Gene-gene interactions; Elastic net; Survival; Survival MDR; Lasso; Random survival forest

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APA (6th Edition):

Zhang, J. (2011). Evaluation of methods for analyzing gene-gene interaction data for survival outcomes. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/1640 ; https://ir.library.louisville.edu/etd/1640

Chicago Manual of Style (16th Edition):

Zhang, Jie. “Evaluation of methods for analyzing gene-gene interaction data for survival outcomes.” 2011. Masters Thesis, University of Louisville. Accessed April 10, 2021. 10.18297/etd/1640 ; https://ir.library.louisville.edu/etd/1640.

MLA Handbook (7th Edition):

Zhang, Jie. “Evaluation of methods for analyzing gene-gene interaction data for survival outcomes.” 2011. Web. 10 Apr 2021.

Vancouver:

Zhang J. Evaluation of methods for analyzing gene-gene interaction data for survival outcomes. [Internet] [Masters thesis]. University of Louisville; 2011. [cited 2021 Apr 10]. Available from: 10.18297/etd/1640 ; https://ir.library.louisville.edu/etd/1640.

Council of Science Editors:

Zhang J. Evaluation of methods for analyzing gene-gene interaction data for survival outcomes. [Masters Thesis]. University of Louisville; 2011. Available from: 10.18297/etd/1640 ; https://ir.library.louisville.edu/etd/1640

15. Sugier, Pierre-Emmanuel. Interactions gène-gène et gène-environnement dans les études génétiques de maladies multifactorielles : application à l’asthme et l’atopie : Gene-gene and gene-environment interactions in genetic studies of multifactorial diseases : application to asthma and atopy.

Degree: Docteur es, Épidémiologie génétique, 2018, Sorbonne université

L’asthme résulte de multiples facteurs génétiques et environnementaux et des interactions entre ces facteurs. L’objectif de cette thèse a été de proposer des stratégies d’analyses… (more)

Subjects/Keywords: Épidémiologie génétique; Études d'associations pangénomiques; Interactions gène-gène; Interactions gène-environnement; Asthme; Atopie; Genetic epidemiology; Genome-wide association studies; Gene-gene interaction; Gene-environment; Asthma; Atopy; 616.2; 614.4; 570

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

APA (6th Edition):

Sugier, P. (2018). Interactions gène-gène et gène-environnement dans les études génétiques de maladies multifactorielles : application à l’asthme et l’atopie : Gene-gene and gene-environment interactions in genetic studies of multifactorial diseases : application to asthma and atopy. (Doctoral Dissertation). Sorbonne université. Retrieved from http://www.theses.fr/2018SORUS519

Chicago Manual of Style (16th Edition):

Sugier, Pierre-Emmanuel. “Interactions gène-gène et gène-environnement dans les études génétiques de maladies multifactorielles : application à l’asthme et l’atopie : Gene-gene and gene-environment interactions in genetic studies of multifactorial diseases : application to asthma and atopy.” 2018. Doctoral Dissertation, Sorbonne université. Accessed April 10, 2021. http://www.theses.fr/2018SORUS519.

MLA Handbook (7th Edition):

Sugier, Pierre-Emmanuel. “Interactions gène-gène et gène-environnement dans les études génétiques de maladies multifactorielles : application à l’asthme et l’atopie : Gene-gene and gene-environment interactions in genetic studies of multifactorial diseases : application to asthma and atopy.” 2018. Web. 10 Apr 2021.

Vancouver:

Sugier P. Interactions gène-gène et gène-environnement dans les études génétiques de maladies multifactorielles : application à l’asthme et l’atopie : Gene-gene and gene-environment interactions in genetic studies of multifactorial diseases : application to asthma and atopy. [Internet] [Doctoral dissertation]. Sorbonne université; 2018. [cited 2021 Apr 10]. Available from: http://www.theses.fr/2018SORUS519.

Council of Science Editors:

Sugier P. Interactions gène-gène et gène-environnement dans les études génétiques de maladies multifactorielles : application à l’asthme et l’atopie : Gene-gene and gene-environment interactions in genetic studies of multifactorial diseases : application to asthma and atopy. [Doctoral Dissertation]. Sorbonne université; 2018. Available from: http://www.theses.fr/2018SORUS519


University of Newcastle

16. Biswas, Mohitosh. Assessment of potential drug and gene interactions for cardiovascular and antidepressant drugs from high-throughput genotyping data in a community cohort of older Australians.

Degree: PhD, 2018, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The safety and efficacy of drugs may be affected by drug-drug interactions (DDIs), drug-gene interactions (DGIs) and multifactorial… (more)

Subjects/Keywords: DDIs; DGIs; gene interactions; drug interactions; Hunter Community Study; clopidogrel; warfarin; statins

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APA (6th Edition):

Biswas, M. (2018). Assessment of potential drug and gene interactions for cardiovascular and antidepressant drugs from high-throughput genotyping data in a community cohort of older Australians. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1393461

Chicago Manual of Style (16th Edition):

Biswas, Mohitosh. “Assessment of potential drug and gene interactions for cardiovascular and antidepressant drugs from high-throughput genotyping data in a community cohort of older Australians.” 2018. Doctoral Dissertation, University of Newcastle. Accessed April 10, 2021. http://hdl.handle.net/1959.13/1393461.

MLA Handbook (7th Edition):

Biswas, Mohitosh. “Assessment of potential drug and gene interactions for cardiovascular and antidepressant drugs from high-throughput genotyping data in a community cohort of older Australians.” 2018. Web. 10 Apr 2021.

Vancouver:

Biswas M. Assessment of potential drug and gene interactions for cardiovascular and antidepressant drugs from high-throughput genotyping data in a community cohort of older Australians. [Internet] [Doctoral dissertation]. University of Newcastle; 2018. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1959.13/1393461.

Council of Science Editors:

Biswas M. Assessment of potential drug and gene interactions for cardiovascular and antidepressant drugs from high-throughput genotyping data in a community cohort of older Australians. [Doctoral Dissertation]. University of Newcastle; 2018. Available from: http://hdl.handle.net/1959.13/1393461

17. Abou-Khater, Charbel. Caractérisation de nouveaux gènes et polymorphismes potentiellement impliqués dans les interactions hôtes-pathogènes : Finding novel gene candidates and polymorphisms involved in host-pathogen interactions.

Degree: Docteur es, Biologie. Microbiologie, 2017, Aix Marseille Université

La coévolution ainsi que les différentes interactions entre hôte et pathogène contribuent à former la diversité génétique de ces deux organismes. Dans le cadre de… (more)

Subjects/Keywords: Polymorphisme; Gènes candidats; Snp; Interactions hôtes-Pathogènes; Polymorphisms; Gene candidates; Snp; Host-Pathogen interactions

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APA (6th Edition):

Abou-Khater, C. (2017). Caractérisation de nouveaux gènes et polymorphismes potentiellement impliqués dans les interactions hôtes-pathogènes : Finding novel gene candidates and polymorphisms involved in host-pathogen interactions. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2017AIXM0196

Chicago Manual of Style (16th Edition):

Abou-Khater, Charbel. “Caractérisation de nouveaux gènes et polymorphismes potentiellement impliqués dans les interactions hôtes-pathogènes : Finding novel gene candidates and polymorphisms involved in host-pathogen interactions.” 2017. Doctoral Dissertation, Aix Marseille Université. Accessed April 10, 2021. http://www.theses.fr/2017AIXM0196.

MLA Handbook (7th Edition):

Abou-Khater, Charbel. “Caractérisation de nouveaux gènes et polymorphismes potentiellement impliqués dans les interactions hôtes-pathogènes : Finding novel gene candidates and polymorphisms involved in host-pathogen interactions.” 2017. Web. 10 Apr 2021.

Vancouver:

Abou-Khater C. Caractérisation de nouveaux gènes et polymorphismes potentiellement impliqués dans les interactions hôtes-pathogènes : Finding novel gene candidates and polymorphisms involved in host-pathogen interactions. [Internet] [Doctoral dissertation]. Aix Marseille Université 2017. [cited 2021 Apr 10]. Available from: http://www.theses.fr/2017AIXM0196.

Council of Science Editors:

Abou-Khater C. Caractérisation de nouveaux gènes et polymorphismes potentiellement impliqués dans les interactions hôtes-pathogènes : Finding novel gene candidates and polymorphisms involved in host-pathogen interactions. [Doctoral Dissertation]. Aix Marseille Université 2017. Available from: http://www.theses.fr/2017AIXM0196

18. Duncombe, Jillian L. 1990-. AN EVALUATION OF GENE INTERACTIONS AFFECTING CARCASS YIELD AND MARBLING IN BEEF CATTLE.

Degree: 2016, University of Saskatchewan

 Genotype-specific management of beef cattle in feedlots has the potential to improve carcass uniformity. Gene variants affecting marbling include LEPc.73C>T, ADH1Cc.-64T>C, TG5, and GALR2c.-199T>G while… (more)

Subjects/Keywords: beef cattle; gene interactions

…study of gene interactions, it may be possible to determine the mechanisms that impact complex… …Gene function can also be variable due to factors such as imprinting, interactions with other… …for livestock confirms that further assessment and analysis of gene interactions is… …x29;. This thesis investigates the effect of gene interactions on carcass traits in beef… …gene function changes with growth hormone interactions, and challenges the industry to adapt… 

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

APA (6th Edition):

Duncombe, J. L. 1. (2016). AN EVALUATION OF GENE INTERACTIONS AFFECTING CARCASS YIELD AND MARBLING IN BEEF CATTLE. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7369

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):

Duncombe, Jillian L 1990-. “AN EVALUATION OF GENE INTERACTIONS AFFECTING CARCASS YIELD AND MARBLING IN BEEF CATTLE.” 2016. Thesis, University of Saskatchewan. Accessed April 10, 2021. http://hdl.handle.net/10388/7369.

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

MLA Handbook (7th Edition):

Duncombe, Jillian L 1990-. “AN EVALUATION OF GENE INTERACTIONS AFFECTING CARCASS YIELD AND MARBLING IN BEEF CATTLE.” 2016. Web. 10 Apr 2021.

Vancouver:

Duncombe JL1. AN EVALUATION OF GENE INTERACTIONS AFFECTING CARCASS YIELD AND MARBLING IN BEEF CATTLE. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10388/7369.

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

Council of Science Editors:

Duncombe JL1. AN EVALUATION OF GENE INTERACTIONS AFFECTING CARCASS YIELD AND MARBLING IN BEEF CATTLE. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7369

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


Queensland University of Technology

19. Chua, Xin-Yi. Prediction of transcriptional regulatory interactions in bacteria : a comparative genomics approach.

Degree: 2012, Queensland University of Technology

 Exponential growth of genomic data in the last two decades has made manual analyses impractical for all but trial studies. As genomic analyses have become… (more)

Subjects/Keywords: transcriptional regulatory interactions; bacteria; genomics approach; gene regulation; transcriptional regulatory network

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APA (6th Edition):

Chua, X. (2012). Prediction of transcriptional regulatory interactions in bacteria : a comparative genomics approach. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/55249/

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):

Chua, Xin-Yi. “Prediction of transcriptional regulatory interactions in bacteria : a comparative genomics approach.” 2012. Thesis, Queensland University of Technology. Accessed April 10, 2021. https://eprints.qut.edu.au/55249/.

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

MLA Handbook (7th Edition):

Chua, Xin-Yi. “Prediction of transcriptional regulatory interactions in bacteria : a comparative genomics approach.” 2012. Web. 10 Apr 2021.

Vancouver:

Chua X. Prediction of transcriptional regulatory interactions in bacteria : a comparative genomics approach. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2021 Apr 10]. Available from: https://eprints.qut.edu.au/55249/.

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

Council of Science Editors:

Chua X. Prediction of transcriptional regulatory interactions in bacteria : a comparative genomics approach. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/55249/

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


Univerzitet u Beogradu

20. Đurović, Jelena Ž., 1984-. Analiza polimorfizama gena za receptor za vitamin D i gena asociranih sa trombofilijom kod žena sa idiopatskim infertilitetom.

Degree: Biološki fakultet, 2017, Univerzitet u Beogradu

Biologija - Genetika / Biology - Genetics

Uvod. Genetičke analize mogu ukazati na uzrok infertiliteta kod ţena kod kojih klinički testovi nisu uspeli da utvrde… (more)

Subjects/Keywords: idiopathic infertility; genes associated with thrombophilia; VDR gene; multilocus interactions

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APA (6th Edition):

Đurović, Jelena Ž., 1. (2017). Analiza polimorfizama gena za receptor za vitamin D i gena asociranih sa trombofilijom kod žena sa idiopatskim infertilitetom. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:16798/bdef:Content/get

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):

Đurović, Jelena Ž., 1984-. “Analiza polimorfizama gena za receptor za vitamin D i gena asociranih sa trombofilijom kod žena sa idiopatskim infertilitetom.” 2017. Thesis, Univerzitet u Beogradu. Accessed April 10, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:16798/bdef:Content/get.

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

MLA Handbook (7th Edition):

Đurović, Jelena Ž., 1984-. “Analiza polimorfizama gena za receptor za vitamin D i gena asociranih sa trombofilijom kod žena sa idiopatskim infertilitetom.” 2017. Web. 10 Apr 2021.

Vancouver:

Đurović, Jelena Ž. 1. Analiza polimorfizama gena za receptor za vitamin D i gena asociranih sa trombofilijom kod žena sa idiopatskim infertilitetom. [Internet] [Thesis]. Univerzitet u Beogradu; 2017. [cited 2021 Apr 10]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:16798/bdef:Content/get.

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

Council of Science Editors:

Đurović, Jelena Ž. 1. Analiza polimorfizama gena za receptor za vitamin D i gena asociranih sa trombofilijom kod žena sa idiopatskim infertilitetom. [Thesis]. Univerzitet u Beogradu; 2017. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:16798/bdef:Content/get

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


University of Illinois – Chicago

21. Parinandi, Gurunadh. Computational Prediction of Pharmacodynamic Drug Interactions Using Public Gene Expression Data.

Degree: 2014, University of Illinois – Chicago

 Advances in pharmacogenomics has presently shown that SNPs are associated with drug toxicity and resistance. It has also been shown that SNPs are defined in… (more)

Subjects/Keywords: Pharmacodynamics; Drug Interactions; Connectivity Map; Gene Set Enrichment Analysis

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APA (6th Edition):

Parinandi, G. (2014). Computational Prediction of Pharmacodynamic Drug Interactions Using Public Gene Expression Data. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/11283

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):

Parinandi, Gurunadh. “Computational Prediction of Pharmacodynamic Drug Interactions Using Public Gene Expression Data.” 2014. Thesis, University of Illinois – Chicago. Accessed April 10, 2021. http://hdl.handle.net/10027/11283.

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

MLA Handbook (7th Edition):

Parinandi, Gurunadh. “Computational Prediction of Pharmacodynamic Drug Interactions Using Public Gene Expression Data.” 2014. Web. 10 Apr 2021.

Vancouver:

Parinandi G. Computational Prediction of Pharmacodynamic Drug Interactions Using Public Gene Expression Data. [Internet] [Thesis]. University of Illinois – Chicago; 2014. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10027/11283.

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

Council of Science Editors:

Parinandi G. Computational Prediction of Pharmacodynamic Drug Interactions Using Public Gene Expression Data. [Thesis]. University of Illinois – Chicago; 2014. Available from: http://hdl.handle.net/10027/11283

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


National University of Ireland – Galway

22. Naughton, Carol. Development and characterisation of novel gene-environment interaction rat models of Parkinson's disease .

Degree: 2016, National University of Ireland – Galway

 Despite its discovery almost 60 years ago, levodopa remains the most effective therapy for the treatment of the motor symptoms associated with Parkinson’s disease. However,… (more)

Subjects/Keywords: Parkinson's Disease; Gene-environment interactions; Animal models; Pharmacology and Therapeutics

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APA (6th Edition):

Naughton, C. (2016). Development and characterisation of novel gene-environment interaction rat models of Parkinson's disease . (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/5984

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):

Naughton, Carol. “Development and characterisation of novel gene-environment interaction rat models of Parkinson's disease .” 2016. Thesis, National University of Ireland – Galway. Accessed April 10, 2021. http://hdl.handle.net/10379/5984.

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

MLA Handbook (7th Edition):

Naughton, Carol. “Development and characterisation of novel gene-environment interaction rat models of Parkinson's disease .” 2016. Web. 10 Apr 2021.

Vancouver:

Naughton C. Development and characterisation of novel gene-environment interaction rat models of Parkinson's disease . [Internet] [Thesis]. National University of Ireland – Galway; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10379/5984.

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

Council of Science Editors:

Naughton C. Development and characterisation of novel gene-environment interaction rat models of Parkinson's disease . [Thesis]. National University of Ireland – Galway; 2016. Available from: http://hdl.handle.net/10379/5984

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

23. Valbuena-Gonzalo, Carlos. Identifying Genetic Causes of Hybrid Necrosis in Arrabidopsis lyrata.

Degree: Ecology and Environmental Sciences, 2019, Umeå University

  Deleterious gene interactions due to accumulation of individual genetic variations between different lineages are a cause of population diversification by creating reproductive barriers that… (more)

Subjects/Keywords: ACD6; deleterious gene interactions; DM9; dwarfism; microsatellites; Evolutionary Biology; Evolutionsbiologi

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APA (6th Edition):

Valbuena-Gonzalo, C. (2019). Identifying Genetic Causes of Hybrid Necrosis in Arrabidopsis lyrata. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163444

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):

Valbuena-Gonzalo, Carlos. “Identifying Genetic Causes of Hybrid Necrosis in Arrabidopsis lyrata.” 2019. Thesis, Umeå University. Accessed April 10, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163444.

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

MLA Handbook (7th Edition):

Valbuena-Gonzalo, Carlos. “Identifying Genetic Causes of Hybrid Necrosis in Arrabidopsis lyrata.” 2019. Web. 10 Apr 2021.

Vancouver:

Valbuena-Gonzalo C. Identifying Genetic Causes of Hybrid Necrosis in Arrabidopsis lyrata. [Internet] [Thesis]. Umeå University; 2019. [cited 2021 Apr 10]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163444.

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

Council of Science Editors:

Valbuena-Gonzalo C. Identifying Genetic Causes of Hybrid Necrosis in Arrabidopsis lyrata. [Thesis]. Umeå University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163444

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


McMaster University

24. Khan, Mohammad. MonsterLM: A method to estimate the variance explained by genome-wide interactions with environmental factors.

Degree: MSc, 2020, McMaster University

Estimations of heritability and variance explained due to environmental exposures and interaction effects help in understanding complex diseases. Current methods to detect such interactions rely… (more)

Subjects/Keywords: Statistical Genetics; Linear Model; SNPs; Gene-Environment Interactions

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APA (6th Edition):

Khan, M. (2020). MonsterLM: A method to estimate the variance explained by genome-wide interactions with environmental factors. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25888

Chicago Manual of Style (16th Edition):

Khan, Mohammad. “MonsterLM: A method to estimate the variance explained by genome-wide interactions with environmental factors.” 2020. Masters Thesis, McMaster University. Accessed April 10, 2021. http://hdl.handle.net/11375/25888.

MLA Handbook (7th Edition):

Khan, Mohammad. “MonsterLM: A method to estimate the variance explained by genome-wide interactions with environmental factors.” 2020. Web. 10 Apr 2021.

Vancouver:

Khan M. MonsterLM: A method to estimate the variance explained by genome-wide interactions with environmental factors. [Internet] [Masters thesis]. McMaster University; 2020. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/11375/25888.

Council of Science Editors:

Khan M. MonsterLM: A method to estimate the variance explained by genome-wide interactions with environmental factors. [Masters Thesis]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25888


Laurentian University

25. O'Donnell, Patrick. The metabolic enzyme locus Triosephosphate Isomerase (Tpi) in Drosophila melanogaster is sensitive to the pairing- dependent trans interaction transvection .

Degree: 2015, Laurentian University

 Recent advances in our ability to visualize and quantify interactions between chromosomes have made the study of these interactions a key step in advancing our… (more)

Subjects/Keywords: Gene regulation; transvection; trans-interactions; Triose phosphate isomerase

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APA (6th Edition):

O'Donnell, P. (2015). The metabolic enzyme locus Triosephosphate Isomerase (Tpi) in Drosophila melanogaster is sensitive to the pairing- dependent trans interaction transvection . (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/dspace/handle/10219/2501

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):

O'Donnell, Patrick. “The metabolic enzyme locus Triosephosphate Isomerase (Tpi) in Drosophila melanogaster is sensitive to the pairing- dependent trans interaction transvection .” 2015. Thesis, Laurentian University. Accessed April 10, 2021. https://zone.biblio.laurentian.ca/dspace/handle/10219/2501.

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

MLA Handbook (7th Edition):

O'Donnell, Patrick. “The metabolic enzyme locus Triosephosphate Isomerase (Tpi) in Drosophila melanogaster is sensitive to the pairing- dependent trans interaction transvection .” 2015. Web. 10 Apr 2021.

Vancouver:

O'Donnell P. The metabolic enzyme locus Triosephosphate Isomerase (Tpi) in Drosophila melanogaster is sensitive to the pairing- dependent trans interaction transvection . [Internet] [Thesis]. Laurentian University; 2015. [cited 2021 Apr 10]. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2501.

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

Council of Science Editors:

O'Donnell P. The metabolic enzyme locus Triosephosphate Isomerase (Tpi) in Drosophila melanogaster is sensitive to the pairing- dependent trans interaction transvection . [Thesis]. Laurentian University; 2015. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2501

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


University of Georgia

26. Watts, Stephen Jesse. Gene-environment interactions and criminological theory.

Degree: 2014, University of Georgia

 This dissertation focuses on integrating several popular theories of crime into a biosocial framework that accounts for recent research in the gene-environment interaction (GxE) literature.… (more)

Subjects/Keywords: gene-environment interactions; criminology; self-control theory; general strain theory

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APA (6th Edition):

Watts, S. J. (2014). Gene-environment interactions and criminological theory. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28941

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):

Watts, Stephen Jesse. “Gene-environment interactions and criminological theory.” 2014. Thesis, University of Georgia. Accessed April 10, 2021. http://hdl.handle.net/10724/28941.

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

MLA Handbook (7th Edition):

Watts, Stephen Jesse. “Gene-environment interactions and criminological theory.” 2014. Web. 10 Apr 2021.

Vancouver:

Watts SJ. Gene-environment interactions and criminological theory. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10724/28941.

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

Council of Science Editors:

Watts SJ. Gene-environment interactions and criminological theory. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28941

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


University of Texas – Austin

27. McCarthy, Ph. D., Neil. Gene-ethanol interactions underlie craniofacial variability in a zebrafish model of FASD.

Degree: PhD, Cell and molecular biology, 2015, University of Texas – Austin

 Variation is common in human birth defects and this variability is influenced by genes and the environment. How genes and the environment interact in causing… (more)

Subjects/Keywords: Gene-environment interactions; Craniofacial development; Fetal alcohol spectrum disorder

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APA (6th Edition):

McCarthy, Ph. D., N. (2015). Gene-ethanol interactions underlie craniofacial variability in a zebrafish model of FASD. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32284

Chicago Manual of Style (16th Edition):

McCarthy, Ph. D., Neil. “Gene-ethanol interactions underlie craniofacial variability in a zebrafish model of FASD.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed April 10, 2021. http://hdl.handle.net/2152/32284.

MLA Handbook (7th Edition):

McCarthy, Ph. D., Neil. “Gene-ethanol interactions underlie craniofacial variability in a zebrafish model of FASD.” 2015. Web. 10 Apr 2021.

Vancouver:

McCarthy, Ph. D. N. Gene-ethanol interactions underlie craniofacial variability in a zebrafish model of FASD. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2152/32284.

Council of Science Editors:

McCarthy, Ph. D. N. Gene-ethanol interactions underlie craniofacial variability in a zebrafish model of FASD. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32284


University of Missouri – Columbia

28. Kuang, Xingyan. Studying macromolecular interactions on the large scale : a bioinformatics approach.

Degree: 2014, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Characterization of macromolecular interactions is not only critical for understanding how macromolecules perform their biological… (more)

Subjects/Keywords: Macromolecules  – Analysis; Nucleic acids; DNA-protein interactions; Gene mapping

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

APA (6th Edition):

Kuang, X. (2014). Studying macromolecular interactions on the large scale : a bioinformatics approach. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/48214

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):

Kuang, Xingyan. “Studying macromolecular interactions on the large scale : a bioinformatics approach.” 2014. Thesis, University of Missouri – Columbia. Accessed April 10, 2021. http://hdl.handle.net/10355/48214.

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

MLA Handbook (7th Edition):

Kuang, Xingyan. “Studying macromolecular interactions on the large scale : a bioinformatics approach.” 2014. Web. 10 Apr 2021.

Vancouver:

Kuang X. Studying macromolecular interactions on the large scale : a bioinformatics approach. [Internet] [Thesis]. University of Missouri – Columbia; 2014. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10355/48214.

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

Council of Science Editors:

Kuang X. Studying macromolecular interactions on the large scale : a bioinformatics approach. [Thesis]. University of Missouri – Columbia; 2014. Available from: http://hdl.handle.net/10355/48214

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


University of Sydney

29. Sana, Maryam. Molecular analysis of human gene regulation .

Degree: 2020, University of Sydney

 The data presented in this Thesis work towards understanding the heterogeneity of the nucleosome remodelling and deacetylase (NuRD) complex, a multi-subunit complex with deacetylase and… (more)

Subjects/Keywords: NuRD; PWWP2A; ZMYND8; CASZ1b; gene regulation; protein-protein interactions

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

APA (6th Edition):

Sana, M. (2020). Molecular analysis of human gene regulation . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/23404

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):

Sana, Maryam. “Molecular analysis of human gene regulation .” 2020. Thesis, University of Sydney. Accessed April 10, 2021. http://hdl.handle.net/2123/23404.

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

MLA Handbook (7th Edition):

Sana, Maryam. “Molecular analysis of human gene regulation .” 2020. Web. 10 Apr 2021.

Vancouver:

Sana M. Molecular analysis of human gene regulation . [Internet] [Thesis]. University of Sydney; 2020. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2123/23404.

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

Council of Science Editors:

Sana M. Molecular analysis of human gene regulation . [Thesis]. University of Sydney; 2020. Available from: http://hdl.handle.net/2123/23404

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


Cornell University

30. Read, Andrew Charles. DEFENSE AND COUNTER-DEFENSE IN THE RICE-XANTHOMONAS PATHOSYSTEM.

Degree: PhD, Plant Pathology and Plant-Microbe Biology, 2020, Cornell University

 Plants have multi-layered immune systems that survey for and respond to pathogens. Successful pathogens subvert these defenses. This defense and counter-defense dynamic leads to a… (more)

Subjects/Keywords: plant immunity; plant-microbe interactions; resistance gene; rice; TAL effector; Xanthomonas

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

APA (6th Edition):

Read, A. C. (2020). DEFENSE AND COUNTER-DEFENSE IN THE RICE-XANTHOMONAS PATHOSYSTEM. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/102892

Chicago Manual of Style (16th Edition):

Read, Andrew Charles. “DEFENSE AND COUNTER-DEFENSE IN THE RICE-XANTHOMONAS PATHOSYSTEM.” 2020. Doctoral Dissertation, Cornell University. Accessed April 10, 2021. http://hdl.handle.net/1813/102892.

MLA Handbook (7th Edition):

Read, Andrew Charles. “DEFENSE AND COUNTER-DEFENSE IN THE RICE-XANTHOMONAS PATHOSYSTEM.” 2020. Web. 10 Apr 2021.

Vancouver:

Read AC. DEFENSE AND COUNTER-DEFENSE IN THE RICE-XANTHOMONAS PATHOSYSTEM. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1813/102892.

Council of Science Editors:

Read AC. DEFENSE AND COUNTER-DEFENSE IN THE RICE-XANTHOMONAS PATHOSYSTEM. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/102892

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