Predicting phenotype from patterns of annotation

Bioinformatics

Volumn 19, Issue SUPPL. 1, 2003, Pages

  King, Oliver D ^a   Lee, Jeffrey C ^a   Dudley, Aimée M ^a   Janse, Daniel M ^a   Church, George M ^a   Roth, Frederick P ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Decision trees; Gene function; Phenotype

Indexed keywords

AMINO ACID SEQUENCE; CONFERENCE PAPER; DECISION THEORY; METHODOLOGY; NONHUMAN; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; SACCHAROMYCES CEREVISIAE; SCIENTIFIC LITERATURE; VALIDATION PROCESS; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPARATIVE STUDY; DOCUMENTATION; EVALUATION; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; METABOLISM; SACCHAROMYCES; VALIDATION STUDY;

SACCHAROMYCES; SACCHAROMYCES CEREVISIAE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, GENETIC; DOCUMENTATION; GENE EXPRESSION PROFILING; PATTERN RECOGNITION, AUTOMATED; PHENOTYPE; SACCHAROMYCES CEREVISIAE; SACCHAROMYCETALES;

EID: 1542272766     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg1024     Document Type: Conference Paper

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