Literaturnachweis - Detailanzeige
Autor/in | Hong, Feng |
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Titel | Contributions to Statistical Problems Related to Microarray Data |
Quelle | (2009), (92 Seiten)
PDF als Volltext Ph.D. Dissertation, University of Illinois at Urbana-Champaign |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
ISBN | 978-1-1095-7492-0 |
Schlagwörter | Hochschulschrift; Dissertation; Data Analysis; Bayesian Statistics; Tests; Measurement Techniques; Models; Genetics; Science Education; Identification; Evaluation Methods; Research Methodology; Problem Solving |
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. [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: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided). |
Anmerkungen | ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |