Inferring the properties of transcription factor regulation
Name
953583303-MIT.pdf
Description
Full printable version
Size
14.51 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Grzadkowski, Michal R
Advisor(s)
Manolis Kellis.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
The regulatory targets of transcription factors are costly to directly detect using existing technologies. Many computational models have thus been developed to infer the genes targeted by TFs using gene expression profiles, position weight matrices modeling TF protein binding, histone modifications, and other secondary datasets. We develop a framework for scoring the potential targets of various TFs using models that take the profile of motif hits on the proximity of transcription start sites as input, and describe methods to validate this framework using expression datasets. These models are then extended to include cis-regulatory regions inferred from epigenetic data.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 93-95).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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