A graph-theoretic approach to testing associations between disparate sources of functional genomics data

Bioinformatics

Volumn 20, Issue 18, 2004, Pages 3353-3362

  Balasubramanian, Raji ^a   LaFramboise, Thomas ^a   Scholtens, Denise ^a   Gentleman, Robert ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; PROTEOME; TRANSCRIPTOME;

ARTICLE; BIOINFORMATICS; CELL FUNCTION; CLINICAL RESEARCH; COMPUTER PROGRAM; CONTROLLED STUDY; FUNCTIONAL GENOMICS; GENE EXPRESSION; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC DATABASE; HIGH THROUGHPUT SCREENING; INFORMATION PROCESSING; KNOCKOUT GENE; MOLECULAR MECHANICS; PHENOTYPE; PRIORITY JOURNAL; PROTEIN EXPRESSION; SACCHAROMYCES CEREVISIAE; STATISTICAL ANALYSIS; TECHNOLOGY; THEORY;

SACCHAROMYCES; SACCHAROMYCES CEREVISIAE;

EID: 12344316947     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth405     Document Type: Article

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