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ERIC Number: ED526623
Record Type: Non-Journal
Publication Date: 2009
Pages: 92
Abstractor: As Provided
Reference Count: 0
ISBN: ISBN-978-1-1095-7492-0
Contributions to Statistical Problems Related to Microarray Data
Hong, Feng
ProQuest LLC, Ph.D. Dissertation, University of Illinois at Urbana-Champaign
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. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page:]
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A