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University of Illinois at Urbana-Champaign

E2M: A deep learning framework for associating combinatorial methylation patterns with gene expression

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-05-01

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Electrical & Computer Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Peng, Jianhao
Contributors dc:contributor
  • Ochoa, Idoia
  • Milenkovic, Olgica

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • Copyright 2019 Jianhao Peng
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/105155
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/105155

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Peng, Jianhao. E2M: A deep learning framework for associating combinatorial methylation patterns with gene expression. Thesis thesis, University of Illinois at Urbana-Champaign, 2019. http://hdl.handle.net/2142/105155