Algorithms for network-based identification of differential regulators from transcriptome data: a systematic evaluation

Science China Life Sciences

Volumn 57, Issue 11, 2014, Pages 1090-1102

  Yu, Hui ^a   Mitra, Ramkrishna ^a   Yang, Jing ^b,c   Li, YuanYuan ^c   Zhao, ZhongMing ^a,d  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

^d VANDERBILT UNIVERSITY   (United States)

Author keywords

algorithm evaluation; differential co expression; differential expression; differential regulation; simulation; transcription factor

Indexed keywords

TRANSCRIPTION FACTOR; TRANSCRIPTOME;

ALGORITHM; BIOLOGY; COMPUTER SIMULATION; FACTUAL DATABASE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; HUMAN; HUMAN GENOME; LUNG TUMOR; METABOLISM; PROCEDURES;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, FACTUAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE EXPRESSION REGULATION, NEOPLASTIC; GENE REGULATORY NETWORKS; GENOME, HUMAN; HUMANS; LUNG NEOPLASMS; TRANSCRIPTION FACTORS; TRANSCRIPTOME;

EID: 84922084785     PISSN: 16747305     EISSN: 18691889     Source Type: Journal    
DOI: 10.1007/s11427-014-4762-7     Document Type: Article

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