RIP: The regulatory interaction predictor-a machine learning-based approach for predicting target genes of transcription factors

Bioinformatics

Volumn 27, Issue 16, 2011, Pages 2239-2247

  Bauer, Tobias ^a,b   Eils, Roland ^a,b   König, Rainer ^a,b  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION FACTOR;

ARTICLE; BINDING SITE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENOMICS; HUMAN; METABOLISM; SUPPORT VECTOR MACHINE;

BINDING SITES; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENOMICS; HUMANS; SUPPORT VECTOR MACHINES; TRANSCRIPTION FACTORS;

EID: 79961191133     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr366     Document Type: Article

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