An integrative modular approach to systematically predict gene-phenotype associations

BMC Bioinformatics

Volumn 11, Issue SUPPLL.1, 2010, Pages

  Mehan, Michael R ^a   Nunez Iglesias, Juan ^a   Dai, Chao ^a,b   Waterman, Michael S ^a   Zhou, Xianghong J ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b WUHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GENE ONTOLOGY ANNOTATIONS; MICROARRAY DATA SETS; NETWORK-BASED APPROACH; PHENOTYPIC DIVERSITY; PROTEIN-PROTEIN INTERACTIONS; RANDOM FOREST CLASSIFIER; TRANSCRIPTION FACTOR BINDING; TRANSCRIPTIONAL REGULATION; REGULATORY MECHANISM;

ASSOCIATION REACTIONS; COMPLEX NETWORKS; DECISION TREES; FORECASTING; TRANSCRIPTION FACTORS; BIOINFORMATICS;

GENES;

ARTICLE; BIOLOGY; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENOME; METHODOLOGY; PHENOTYPE;

COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENOME; PHENOTYPE;

EID: 75149113273     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-S1-S62     Document Type: Article

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