Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships

BMC Bioinformatics

Volumn 11, Issue SUPPLL.1, 2010, Pages

  Seok, Junhee ^a,b   Kaushal, Amit ^a   Davis, Ronald W ^a   Xiao, Wenzhong ^a,c  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Stanford University   (United States)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION DATA; GENE REGULATORY RELATIONSHIPS; INTEGRATING INFORMATION; KNOWLEDGE-BASED PREDICTIONS; PREDICTION PERFORMANCE; REGULATORY RELATIONSHIPS; SENSITIVITY AND SPECIFICITY; TRANSCRIPTIONAL REGULATION;

ALGORITHMS; BIOINFORMATICS; FORECASTING; GENE EXPRESSION; KNOWLEDGE BASED SYSTEMS; YEAST; MICROARRAYS;

MICROARRAYS; DATA INTEGRATION;

PROTEOME;

ALGORITHM; ARTICLE; DNA MICROARRAY; GENE REGULATORY NETWORK; GENETIC TRANSCRIPTION; GENETICS; KNOWLEDGE BASE; METHODOLOGY; PROTEIN DATABASE; SACCHAROMYCES CEREVISIAE;

ALGORITHMS; DATABASES, PROTEIN; GENE REGULATORY NETWORKS; KNOWLEDGE BASES; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEOME; SACCHAROMYCES CEREVISIAE; TRANSCRIPTION, GENETIC;

EID: 75149115174     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-S1-S8     Document Type: Article

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