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Massachusetts Institute of Technology

Exploring cis-regulatory models of the genome to predict epigenetic state and variation

Abstract

dc:description.abstract

We introduce a new model called CCM+ that rectifies the inability of previous sequence-based methods to generalize across cell-types. We permit generalization by introducing arbitrary base-pair resolution covariates. We show that the addition of base-pair resolution chromatin accessibility covariate greatly aids in the prediction of cis-regulatory marks. Additionally, we show that by using cell-type specific covariates, CCM+ can generalize across cell-types. Finally, we show CCM+ can be used for downstream analysis that matches state-of-the-art methods when chromatin accessibility is used as a covariate.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kang, Daniel D
Advisor dc:contributor.advisor
  • David Gifford.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/106117
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/106117

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Kang, Daniel D. Exploring cis-regulatory models of the genome to predict epigenetic state and variation. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106117