Regulatory component analysis: A semi-blind extraction approach to infer gene regulatory networks with imperfect biological knowledge

Signal Processing

Volumn 92, Issue 8, 2012, Pages 1902-1915

  Wang, Chen ^a   Xuan, Jianhua ^a   Shih, Ie Ming ^b   Clarke, Robert ^c   Wang, Yue ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c GEORGETOWN UNIVERSITY   (United States)

Author keywords

Gene expression; Genomic signal processing; Source extraction; Transcriptional regulatory network inference

Indexed keywords

BIOLOGICAL EXPERIMENTS; CELLULAR MECHANISMS; COMPONENT ANALYSIS; GENE EXPRESSION DATA; GENE REGULATORY NETWORKS; GENOMIC DATA; GENOMIC SIGNALS; GENOMIC-SIGNAL-PROCESSING; HIGH-THROUGHPUT; INFERENCE PROBLEM; KNOWLEDGE CONSTRAINTS; LATENT VARIABLE; LEAST-SQUARES FITTINGS; LINEAR LATENT VARIABLES; NETWORK COMPONENT ANALYSIS; REGULATORY NETWORK; REGULATORY PROTEIN; REGULATORY SIGNALS; RESEARCH TOPICS; SEMI-BLIND; SIGNALTONOISE RATIO (SNR); SOURCE EXTRACTION; SYSTEMS BIOLOGY; TRANSCRIPTIONAL REGULATORY NETWORK INFERENCE; TRANSCRIPTIONAL REGULATORY NETWORKS;

ALGORITHMS; ESCHERICHIA COLI; GENE EXPRESSION; INDEPENDENT COMPONENT ANALYSIS; SIGNAL PROCESSING; TRANSCRIPTION FACTORS;

GENES;

EID: 84858070004     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2011.11.028     Document Type: Article

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