Identifying context-specific transcription factor targets from prior knowledge and gene expression data

IEEE Transactions on Nanobioscience

Volumn 12, Issue 3, 2013, Pages 142-149

  Fertig, Elana J ^a   Favorov, Alexander V ^a,b,c   Ochs, Michael F ^a,d  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b VAVILOV INSTITUTE OF GENERAL GENETICS   (Russian Federation)

^c GosNIIGenetika   (Russian Federation)

^d The College of New Jersey   (United States)

Author keywords

Bioinformatics; genetic expression; genomics

Indexed keywords

GASTROINTESTINAL STROMAL TUMORS; GENE EXPRESSION DATA; GENETIC EXPRESSIONS; GENOMICS; NUMERICAL EXPERIMENTS; OVERLAPPING GENES; PRIOR PROBABILITY; TRANSCRIPTIONAL RESPONSE;

BIOINFORMATICS; GENES; MAMMALS; TRANSCRIPTION FACTORS;

STATISTICS;

TRANSCRIPTION FACTOR; TUMOR PROTEIN;

ALGORITHM; BIOLOGICAL MODEL; COMPUTER SIMULATION; GASTROINTESTINAL STROMAL TUMOR; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; HUMAN; METABOLISM; PHOSPHORYLATION; PROCEDURES; TUMOR CELL LINE; ARTICLE; METHODOLOGY;

ALGORITHMS; CELL LINE, TUMOR; COMPUTER SIMULATION; GASTROINTESTINAL STROMAL TUMORS; GENE EXPRESSION PROFILING; GENOMICS; HUMANS; MODELS, GENETIC; NEOPLASM PROTEINS; PHOSPHORYLATION; TRANSCRIPTION FACTORS;

EID: 84883347632     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2013.2263390     Document Type: Article

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