2026-09-21T00:29:35Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/101707 2023-07-11 col_2142_5131 com_2142_5130

Jakobsson, Eric Mainzer, Liudmila S Jakobsson, Eric Sinha, Saurabh Nelson, Mark McHenry, Kenton Ge, Weihao 2018-09-27T16:34:18Z 2018-09-27T16:34:18Z 2020-09-28T09:15:16Z 2018-07-12 2018-08 Quantitative phenotypes regulated by multiple genes are prevalent in nature and many diseases falls into this category. High-throughput sequencing and high-performance computing provides a basis to understand quantitative phenotypes. However, finding a statistical approach correctly model the phenotypes remain a challenging problem. In this work, I present a resampling-based approach to obtain biological functional categories from gene set and apply the approach to analyze lithium-sensitivity of neurological diseases and cancer. Then, the non-parametrical permutation-based approach is applied to evaluate the performance of a GWAS modeling procedure. While the procedure performs well in statistics, search space reduction is required to address the computation challenge. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-08-01 The student, Weihao Ge, accepted the attached license on 2018-07-11 at 15:01. The student, Weihao Ge, submitted this Dissertation for approval on 2018-07-11 at 15:20. This Dissertation was approved for publication on 2018-07-12 at 14:53. DSpace SAF Submission Ingestion Package generated from Vireo submission #12830 on 2018-09-27 at 11:19:09 Made available in DSpace on 2018-09-27T16:34:18Z (GMT). No. of bitstreams: 7 GE-DISSERTATION-2018.pdf: 2587074 bytes, checksum: af7295222757484aaacb101c2a1eec14 (MD5) AllGOTermsInTree_Final.xlsx: 114511 bytes, checksum: aefaec95ed1104987bc7fe79bc1e5b16 (MD5) Chapter5SupplementaryFigures.docx: 2392428 bytes, checksum: 1bba9d546f1b67c74ecd744b4bee8731 (MD5) pipeline.gz: 527759 bytes, checksum: f83373d18bb2831dec768ff46cfd16c2 (MD5) pipelinemanual.docx: 863317 bytes, checksum: f813672fc091f22c7f131d1f4268279d (MD5) ThesisWeihaoGe.docx: 18721490 bytes, checksum: 3ca2ada1d09dccca4daf4c49bdbb5408 (MD5) LICENSE.txt: 4206 bytes, checksum: 57d6e5e606dca5f9a8e9e23563f2b5c2 (MD5) Previous issue date: 2018-07-12 Embargo set by: Seth Robbins for item 107807 Lift date: 2020-09-27T16:34:29Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 107807 on 2020-09-28T09:15:16Z. application/pdf http://hdl.handle.net/2142/101707 en Copyright 2018 Weihao Ge resampling gene ontology pathway FDR GWAS epistasis search space reduction Optimization, random resampling, and modeling in bioinformatics text text School of Molecular & Cell Bio Biophysics & Computnl Biology University of Illinois at Urbana-Champaign Dissertation Ph.D.