A computational approach for ordering signal transduction pathway components from genomics and proteomics data

BMC Bioinformatics

Volumn 5, Issue , 2004, Pages

  Liu, Yin ^a   Zhao, Hongyu ^b  

^a YALE UNIVERSITY   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR MECHANISMS; COMPUTATIONAL APPROACH; HIGH-THROUGHPUT GENOMICS; INTEGRATED APPROACH; INTEGRATION ANALYSIS; MICROARRAY GENE EXPRESSION DATA; PROTEIN-PROTEIN INTERACTIONS; SIGNAL TRANSDUCTION PATHWAYS;

COMPUTATIONAL METHODS; GENE EXPRESSION; METADATA; MOLECULAR BIOLOGY; PIGMENTS; SIGNAL TRANSDUCTION; SIGNALING;

PROTEINS;

MITOGEN ACTIVATED PROTEIN KINASE; PROTEOME; SACCHAROMYCES CEREVISIAE PROTEIN;

ARTICLE; CELL METABOLISM; COMPUTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; GENOMICS; PREDICTION; PROCESS DEVELOPMENT; PROTEIN PROTEIN INTERACTION; PROTEOMICS; SCORING SYSTEM; SIGNAL TRANSDUCTION; SYSTEM ANALYSIS; BIOLOGY; COMPARATIVE STUDY; ENZYMOLOGY; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; PREDICTIVE VALUE; PROCEDURES; PROTEIN ANALYSIS; PROTEIN DATABASE; SACCHAROMYCES CEREVISIAE; STATISTICS AND NUMERICAL DATA;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GENE EXPRESSION PROFILING; GENOMICS; MITOGEN-ACTIVATED PROTEIN KINASES; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PREDICTIVE VALUE OF TESTS; PROTEIN INTERACTION MAPPING; PROTEOME; PROTEOMICS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SIGNAL TRANSDUCTION;

EID: 13244295475     PISSN: 14712105     EISSN: None     Source Type: Journal    
DOI: 10.1186/1471-2105-5-158     Document Type: Article

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