Methods of study integration in multiplex molecular medicine
Abstract/Contents
- Abstract
- The acquisition of biomedical research data is continually expanding, both in the number of variables measured in any single experiment and the number of experiments being done. To bring the fruits of all this labor into medical practice, we need to develop techniques for integrating high dimensional assays across experimental studies. In this thesis, I develop and demonstrate several approaches to multiplex meta-analysis, the synthesis multiple of high dimensional studies. I discuss the development of an overall expression map, examining the properties of gene expression dynamics across thousands of studies. I use this analysis of gene expression dynamics to develop methods of integrating highly parallelized gene expression studies to both identify new biomarkers of disease process, and to prioritize genes likely to contribute to disease risk. Finally, I demonstrate a method for clinical genomics, integrating disease linked genetic variants across an entire genome for translation into medical practice.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2011 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Morgan, Alexander Anthony |
|---|---|
| Associated with | Stanford University, Department of Biomedical Informatics. |
| Primary advisor | Butte, Atul J |
| Thesis advisor | Butte, Atul J |
| Thesis advisor | Ashley, Euan A |
| Thesis advisor | Brunet, Anne, 1972- |
| Advisor | Ashley, Euan A |
| Advisor | Brunet, Anne, 1972- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Alexander A. Morgan. |
|---|---|
| Note | Submitted to the Department of Biomedical Informatics. |
| Thesis | Ph.D. Stanford University 2011 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2011 by Alexander Anthony Morgan
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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