Rozprawy doktorskie na temat „Genetics – Statistical methods”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych rozpraw doktorskich naukowych na temat „Genetics – Statistical methods”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj rozprawy doktorskie z różnych dziedzin i twórz odpowiednie bibliografie.
ZHANG, GE. "STATISTICAL METHODS IN GENETIC ASSOCIATION". University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196099744.
Pełny tekst źródłaLange, Christoph. "Generalized estimating equation methods in statistical genetics". Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269921.
Pełny tekst źródłaJung, Min Kyung. "Statistical methods for biological applications". [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3278454.
Pełny tekst źródłaSource: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6740. Adviser: Elizabeth A. Housworth. Title from dissertation home page (viewed May 20, 2008).
Yung, Godwin Yuen Han. "Statistical methods for analyzing genetic sequencing association studies". Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493313.
Pełny tekst źródłaBiostatistics
Shringarpure, Suyash. "Statistical Methods for studying Genetic Variation in Populations". Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/117.
Pełny tekst źródłaYu, Xiaoqing. "Statistical Methods and Analyses for Next-generation Sequencing Data". Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1403708200.
Pełny tekst źródłaCordell, Heather Jane. "Statistical methods in the genetic analysis of type 1 diabetes". Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296834.
Pełny tekst źródłaLee, Yiu-fai, i 李耀暉. "Analysis for segmental sharing and linkage disequilibrium: a genomewide association study on myopia". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43912217.
Pełny tekst źródłaAllchin, Lorraine Doreen May. "Statistical methods for mapping complex traits". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:65f392ba-1b64-4b00-8871-7cee98809ce1.
Pełny tekst źródłaVaez, Torshizi Rasoul. "Quantitative genetic analyses of production and reproduction traits in Australian merino sheep". Thesis, The University of Sydney, 1996. https://hdl.handle.net/2123/27593.
Pełny tekst źródłaZang, Yong, i 臧勇. "Robust tests under genetic model uncertainty in case-control association studies". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46419123.
Pełny tekst źródłaChoy, Yan-tsun, i 蔡恩浚. "Statistical evaluation of mixed DNA stains". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42664287.
Pełny tekst źródłaGuturu, Harendra. "Deciphering human gene regulation using computational and statistical methods". Thesis, Stanford University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3581147.
Pełny tekst źródłaIt is estimated that at least 10-20% of the mammalian genome is dedicated towards regulating the 1-2% of the genome that codes for proteins. This non-coding, regulatory layer is a necessity for the development of complex organisms, but is poorly understood compared to the genetic code used to translate coding DNA into proteins. In this dissertation, I will discuss methods developed to better understand the gene regulatory layer. I begin, in Chapter 1, with a broad overview of gene regulation, motivation for studying it, the state of the art with a historically context and where to look forward.
In Chapter 2, I discuss a computational method developed to detect transcription factor (TF) complexes. The method compares co-occurring motif spacings in conserved versus unconserved regions of the human genome to detect evolutionarily constrained binding sites of rigid transcription factor (TF) complexes. Structural data were integrated to explore overlapping motif arrangements while ensuring physical plausibility of the TF complex. Using this approach, I predicted 422 physically realistic TF complex motifs at 18% false discovery rate (FDR). I found that the set of complexes is enriched in known TF complexes. Additionally, novel complexes were supported by chromatin immunoprecipitation sequencing (ChIP-seq) datasets. Analysis of the structural modeling revealed three cooperativity mechanisms and a tendency of TF pairs to synergize through overlapping binding to the same DNA base pairs in opposite grooves or strands. The TF complexes and associated binding site predictions are made available as a web resource at http://complex.stanford.edu.
Next, in Chapter 3, I discuss how gene enrichment analysis can be applied to genome-wide conserved binding sites to successfully infer regulatory functions for a given TF complex. A genomic screen predicted 732,568 combinatorial binding sites for 422 TF complex motifs. From these predictions, I inferred 2,440 functional roles, which are consistent with known functional roles of TF complexes. In these functional associations, I found interesting themes such as promiscuous partnering of TFs (such as ETS) in the same functional context (T cells). Additionally, functional enrichment identified two novel TF complex motifs associated with spinal cord patterning genes and mammary gland development genes, respectively. Based on these predictions, I discovered novel spinal cord patterning enhancers (5/9, 56% validation rate) and enhancers active in MCF7 cells (11/19, 53% validation rate). This set replete with thousands of additional predictions will serve as a powerful guide for future studies of regulatory patterns and their functional roles.
Then, in Chapter 4, I outline a method developed to predict disease susceptibility due to gene mis-regulation. The method interrogates ensembles of conserved binding sites of regulatory factors disrupted by an individual's variants and then looks for their most significant congregation next to a group of functionally related genes. Strikingly, when the method is applied to five different full human genomes, the top enriched function for each is reflective of their very different medical histories. These results suggest that erosion of gene regulation results in function specific mutation loads that manifest as disease predispositions in a familial lineage. Additionally, this aggregate analysis method addresses the problem that although many human diseases have a genetic component involving many loci, the majority of studies are statistically underpowered to isolate the many contributing loci.
Finally, I conclude in Chapter 5 with a summary of my findings throughout my research and future directions of research based on my findings.
Hu, Xianghong. "Statistical methods for Mendelian randomization using GWAS summary data". HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/639.
Pełny tekst źródłaCiampa, Julia Grant. "Multilocus approaches to the detection of disease susceptibility regions : methods and applications". Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:8f82a624-7d80-438c-af3e-68ce983ff45f.
Pełny tekst źródłaCsilléry, Katalin. "Statistical inference in population genetics using microsatellites". Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3865.
Pełny tekst źródłaSu, Zhan. "Statistical methods for the analysis of genetic association studies". Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:98614f8b-63fe-4fa1-9a24-422216ad14cf.
Pełny tekst źródłaAhiska, Bartu. "Reference-free identification of genetic variation in metagenomic sequence data using a probabilistic model". Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.561121.
Pełny tekst źródłaSilver, Matthew. "Statistical methods in neuroimaging genetics : pathways sparse regression and cluster size inference". Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11124.
Pełny tekst źródłaKecskemetry, Peter D. "Computationally intensive methods for hidden Markov models with applications to statistical genetics". Thesis, University of Oxford, 2014. https://ora.ox.ac.uk/objects/uuid:8dd5d68d-27e9-4412-868c-0477e438a2c5.
Pełny tekst źródłaShen, Xia. "Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation". Doctoral thesis, Uppsala universitet, Beräknings- och systembiologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-170091.
Pełny tekst źródłaHu, Yueqing, i 胡躍清. "Some topics in the statistical analysis of forensic DNA and genetic family data". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38831491.
Pełny tekst źródłaHeinig, Matthias Alexander [Verfasser]. "Statistical methods for the analysis of the genetics of gene expression / Matthias Alexander Heinig". Berlin : Freie Universität Berlin, 2011. http://d-nb.info/1025305442/34.
Pełny tekst źródłaAi, Ni, i 艾妮. "A novel framework for expression quantitative trait loci mapping". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4715214X.
Pełny tekst źródłaO'Connell, Jared Michael. "Statistical methods for genotype microarray data on large cohorts of individuals". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:4e3328cf-0d8e-4587-b24d-9b59fa220f32.
Pełny tekst źródłaCresswell, Kellen Garrison. "Spectral methods for the detection and characterization of Topologically Associated Domains". VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/6100.
Pełny tekst źródłaMinnier, Jessica. "Inference and Prediction for High Dimensional Data via Penalized Regression and Kernel Machine Methods". Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10327.
Pełny tekst źródłaSpeed, Douglas Christopher. "Exploring nonlinear regression methods, with application to association studies". Thesis, University of Cambridge, 2011. https://www.repository.cam.ac.uk/handle/1810/241092.
Pełny tekst źródłaMayor, Lianne Rosalind. "Statistical methods in molecular and population genetics : clustering of similar genes and investigating relatedness of individuals". Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445322.
Pełny tekst źródłaMcCaskie, Pamela Ann. "Multiple-imputation approaches to haplotypic analysis of population-based data with applications to cardiovascular disease". University of Western Australia. School of Population Health, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0160.
Pełny tekst źródłaHaddon, Andrew L. "Evaluation of Some Statistical Methods for the Identification of Differentially Expressed Genes". FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/1913.
Pełny tekst źródłaVukcevic, Damjan. "Bayesian and frequentist methods and analyses of genome-wide association studies". Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:8f89593e-a4ab-4df0-b297-74194be7891c.
Pełny tekst źródłaYip, Wai-Ki. "Statistical Methods for Analyzing DNA Methylation Data and Subpopulation Analysis of Continuous, Binary and Count Data for Clinical Trials". Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226106.
Pełny tekst źródłaDíaz, Oscar. "Genetic diversity in Elymus species (Triticeae) with emphasis on the Nordic region /". Svalöv : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5493-X.pdf.
Pełny tekst źródłaAndersson, Alfred. "Neural networks for imputation of missing genotype data : An alternative to the classical statistical methods in bioinformatics". Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413635.
Pełny tekst źródłaCoop, Graham M. "The likelihood of gene trees under selective models". Thesis, University of Oxford, 2004. http://ora.ox.ac.uk/objects/uuid:ba97d36c-61c1-40c8-a1f4-e7ddc8918d5b.
Pełny tekst źródłaCuthbertson, Charles. "Limits to the rate of adaptation". Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670176.
Pełny tekst źródłaLiley, Albert James. "Statistical co-analysis of high-dimensional association studies". Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/270628.
Pełny tekst źródłaBaker, Peter John. "Applied Bayesian modelling in genetics". Thesis, Queensland University of Technology, 2001.
Znajdź pełny tekst źródłaKam-Thong, Tony Verfasser], i Klaus-Robert [Akademischer Betreuer] [Müller. "Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU) / Tony Kam-Thong. Betreuer: Klaus Robert Müller". Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2012. http://d-nb.info/102553879X/34.
Pełny tekst źródłaMagosi, Lerato Elaine. "Dissecting heterogeneity in GWAS meta-analysis". Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:c853f7e7-93de-440c-b57c-fcfc03d3bb86.
Pełny tekst źródłaPook, Torsten [Verfasser], Henner [Akademischer Betreuer] Simianer, Henner [Gutachter] Simianer, Timothy Mathes [Gutachter] Beissinger i Hans-Peter [Gutachter] Piepho. "Methods and software to enhance statistical analysis in large scale problems in breeding and quantitative genetics / Torsten Pook ; Gutachter: Henner Simianer, Timothy Mathes Beissinger, Hans-Peter Piepho ; Betreuer: Henner Simianer". Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://d-nb.info/1199608254/34.
Pełny tekst źródłaShar, Nisar Ahmed. "Statistical methods for predicting genetic regulation". Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16729/.
Pełny tekst źródłaRivas, Cruz Manuel A. "Medical relevance and functional consequences of protein truncating variants". Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:a042ca18-7b35-4a62-aef0-e3ba2e8795f7.
Pełny tekst źródłaCheng, Lulu. "Statistical Methods for Genetic Pathway-Based Data Analysis". Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/52039.
Pełny tekst źródłaPh. D.
Czarn, Andrew Simon Timothy. "Statistical exploratory analysis of genetic algorithms". University of Western Australia. School of Computer Science and Software Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0030.
Pełny tekst źródłaShen, Rujun, i 沈汝君. "Mining optimal technical trading rules with genetic algorithms". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47870011.
Pełny tekst źródłapublished_or_final_version
Statistics and Actuarial Science
Master
Master of Philosophy
Clark, Taane Gregory. "Statistical methods for finding associations in dense genetic regions". Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413976.
Pełny tekst źródłaFerreira, Teresa. "Statistical methods for modelling epistasis in genetic association studies". Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543476.
Pełny tekst źródłaLin, Xinyi (Cindy). "Statistical Methods for High-Dimensional Data in Genetic Epidemiology". Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11326.
Pełny tekst źródła