Modeling and analysis of gene expression arrays
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2004.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2005
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Online Access: | http://hdl.handle.net/1721.1/29445 |
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author | Duggar, Keith Howard, 1976- |
author2 | Douglas A. Lauffenburger and Peter K. Sorger. |
author_facet | Douglas A. Lauffenburger and Peter K. Sorger. Duggar, Keith Howard, 1976- |
author_sort | Duggar, Keith Howard, 1976- |
collection | MIT |
description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2004. |
first_indexed | 2024-09-23T11:14:31Z |
format | Thesis |
id | mit-1721.1/29445 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T11:14:31Z |
publishDate | 2005 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/294452019-04-11T14:15:48Z Modeling and analysis of gene expression arrays Duggar, Keith Howard, 1976- Douglas A. Lauffenburger and Peter K. Sorger. Massachusetts Institute of Technology. Dept. of Chemical Engineering. Massachusetts Institute of Technology. Dept. of Chemical Engineering. Chemical Engineering. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2004. Includes bibliographical references (p. 65-66). Gene expression arrays are a technology used to measure quantities of messenger ribonucleic acid (mRNA). Application of the technology involves a variety of physical processes beginning with the acquisition of mRNA samples and ending with the fluorescence imaging of a gene expression array. This thesis examines these physical processes, develops a mechanistic model, and derives the analysis procedure based on the model. Chief advantages of this approach are that it accounts for certain previously unexplained array phenomena and is based in a clear way on physical knowledge allowing non-arbitrary determination of both the probability that any given gene has altered expression ratio relative to a control as well as the magnitude of this induction or repression. We demonstrate its use on simulated and real array data, and show that a considerable amount of previously unrecognized information concerning gene expression differences is inherent in the array measurements. by Keith Howard Duggar. Ph.D. 2005-10-14T20:35:39Z 2005-10-14T20:35:39Z 2004 2004 Thesis http://hdl.handle.net/1721.1/29445 56205129 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 66 p. 2133621 bytes 2133429 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
spellingShingle | Chemical Engineering. Duggar, Keith Howard, 1976- Modeling and analysis of gene expression arrays |
title | Modeling and analysis of gene expression arrays |
title_full | Modeling and analysis of gene expression arrays |
title_fullStr | Modeling and analysis of gene expression arrays |
title_full_unstemmed | Modeling and analysis of gene expression arrays |
title_short | Modeling and analysis of gene expression arrays |
title_sort | modeling and analysis of gene expression arrays |
topic | Chemical Engineering. |
url | http://hdl.handle.net/1721.1/29445 |
work_keys_str_mv | AT duggarkeithhoward1976 modelingandanalysisofgeneexpressionarrays |