Some statistical issues pertaining to genome-wide association studies / Arunabha Majumdar.
Material type:
TextPublication details: Kolkata : Indian Statistical Institute, 2013.Description: iv, 148 pSubject(s): Genre/Form: DDC classification: - 000SB:572.8 23 M234
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| THESIS | ISI Library, Kolkata | 000SB:572.8 M234 (Browse shelf(Opens below)) | Available | TH386 |
"This thesis was accepted for the Ph.D. degree by the Indian Statistical Institute, August, 2013."
Thesis supervisor: Dr. Saurabh Ghosh.
Includes bibliographical references.
1. Introduction and overview--
2. A novel Bayesian semi-parametric algorithm for inferring population structure and adjusting for case-control association tests--
3. A multivariate normal block versus a principal components approach: competing strategies for multiple testing in genome-wide case-control association framework--
4. Integrating multiple phenotypes for detecting population based association using binomial regression--
5. Combining associated single nucleotide polymorphisms for estimation genetic risks.
Bibliography.
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