A weighted power framework for integrating multisource information: Gene function prediction in yeast

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 4, 2012, Pages 1162-1168

  Ray, Shubhra Sankar ^a   Bandyopadhyay, Sanghamitra ^a   Pal, Sankar K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Combinatorial optimization; gene expression; phenotypic profile; protein sequence; transitive homology

Indexed keywords

BIOLOGICAL DATA; DATA SOURCE; FUNCTIONAL ANNOTATION; GENE FUNCTION PREDICTION; GENE ONTOLOGY; K-MEDOIDS; MATLAB CODE; MULTISOURCES; P-VALUES; PHENOTYPIC PROFILE; PROTEIN SEQUENCE; SACCHAROMYCES GENOME DATABASE; TRANSITIVE HOMOLOGY; WEIGHT COEFFICIENTS; YEAST SACCHAROMYCES CEREVISIAE;

COMBINATORIAL OPTIMIZATION; FORECASTING; GENE EXPRESSION;

YEAST;

ARTICLE; GENE CLUSTER; GENE EXPRESSION; GENE FUNCTION; PROTEIN PROTEIN INTERACTION; SACCHAROMYCES CEREVISIAE;

AMINO ACID SEQUENCE; COMPUTER SIMULATION; DATA MINING; DATABASES, PROTEIN; GENE EXPRESSION PROFILING; MODELS, BIOLOGICAL; MOLECULAR SEQUENCE DATA; PROTEIN INTERACTION MAPPING; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SIGNAL TRANSDUCTION; STRUCTURE-ACTIVITY RELATIONSHIP; SYSTEMS INTEGRATION;

EID: 84858957766     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2186689     Document Type: Article

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