Integrated Module and Gene-Specific Regulatory Inference Implicates Upstream Signaling Networks

PLoS Computational Biology

Volumn 9, Issue 10, 2013, Pages

  Roy, Sushmita ^a,b   Lagree, Stephen ^c   Hou, Zhonggang ^d   Thomson, James A ^a,d,e   Stewart, Ron ^d   Gasch, Audrey P ^b  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c University of Wisconsin Madison   (United States)

^d Morgridge Institute for Research   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL SIGNALING; SIGNALING; TRANSCRIPTION;

CO-REGULATION; GENES EXPRESSION; INTEGRATED MODULE; MODULARS; REGULATORY NETWORK; REGULATORY PROGRAM; SIGNALING NETWORKS; SIGNALING SYSTEMS; STRESS DEVELOPMENT; STRESSES RESPONSE;

STEM CELLS;

ARTICLE; CELL DIFFERENTIATION; CELLULAR STRESS RESPONSE; COMPUTER PREDICTION; COMPUTER PROGRAM; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; EMBRYONIC STEM CELL; GENE CONTROL; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; HUMAN; HUMAN CELL; MACHINE LEARNING; MATHEMATICAL MODEL; MODULAR REGULATORY NETWORK LEARNING WITH PER GENE INFORMATION; NONHUMAN; PROBABILITY; PROCESS DESIGN; PROCESS DEVELOPMENT; PROCESS MODEL; SIGNAL PROCESSING; TRANSCRIPTION REGULATION; YEAST;

CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENE REGULATORY NETWORKS; HUMANS; MODELS, GENETIC; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 84887283985     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003252     Document Type: Article

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