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Title:Contributions to Statistical Problems Related to Microarray Data
Author(s):Hong, Feng
Doctoral Committee Chair(s):He, Xuming
Department / Program:Statistics
Discipline:Statistics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Statistics
Abstract:Microarray is a high throughput technology to measure the gene expression. Analysis of microarray data brings many interesting and challenging problems. This thesis consists three studies related to microarray data. First, we propose a Bayesian model for microarray data and use Bayes Factors to identify differentially expressed genes. Second, we study the cellular differentiation process and proposed a statistical test for detecting early differentiation genes. Third, we further proposed a model-based method for the cellular differentiation problem.
Issue Date:2009
Type:Text
Description:81 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.
URI:http://hdl.handle.net/2142/72582
Other Identifier(s):(UMI)AAI3392071
Date Available in IDEALS:2014-12-17
Date Deposited:2009


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