Identifying master regulators of cancer and their downstream targets by integrating genomic and epigenomic features

Pacific Symposium on Biocomputing

Volumn , Issue , 2013, Pages 123-134

  Gevaert, Olivier ^a   Plevritis, Sylvia ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALKYLATION; BIOINFORMATICS; DISEASES; METHYLATION; MOLECULAR BIOLOGY;

BIOLOGICAL PROCESS; COPY NUMBER VARIATIONS; DOWNSTREAM TARGET; GENE EXPRESSION DATA; GLIOBLASTOMA MULTIFORME; MASTER REGULATORS; PROOF OF CONCEPT; REGULATORY NETWORK;

GENE EXPRESSION;

DNA;

ALGORITHM; BIOLOGY; COPY NUMBER VARIATION; DNA METHYLATION; FEMALE; GENE EXPRESSION REGULATION; GENETIC DATABASE; GENETIC EPIGENESIS; GENETICS; GENOMICS; GLIOBLASTOMA; HUMAN; METABOLISM; NEOPLASM; OVARY TUMOR; STATISTICS AND NUMERICAL DATA; ARTICLE; STATISTICS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DNA COPY NUMBER VARIATIONS; DNA METHYLATION; DNA, NEOPLASM; EPIGENESIS, GENETIC; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; GENOMICS; GLIOBLASTOMA; HUMANS; NEOPLASMS; OVARIAN NEOPLASMS;

EID: 84891432261     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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