Enabling enrichment analysis with the Human Disease Ontology

Journal of Biomedical Informatics

Volumn 44, Issue SUPPL. 1, 2011, Pages

  LePendu, Paea ^a   Musen, Mark A ^a   Shah, Nigam H ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Annotation; Electronic Health Records; Enrichment analysis; Human disease; Information integration; Ontology

Indexed keywords

ANALYSIS METHOD; ANNOTATION; BIOLOGICAL PROCESS; CELLULAR COMPONENTS; DATA SETS; ELECTRONIC HEALTH RECORD; ELECTRONIC MEDICAL RECORD; EXPRESSION LEVELS; GAIN INSIGHT; GENE ONTOLOGY; GENERAL METHOD; HIGH THROUGHPUT EXPERIMENTS; HIGH-THROUGHPUT DATA; HUMAN DISEASE; INFORMATION INTEGRATION; MOLECULAR FUNCTION; UNDER-REPRESENTED;

GENE EXPRESSION; MEDICAL COMPUTING; THROUGHPUT;

ONTOLOGY;

AGING; AMINO ACID SEQUENCE; ARTICLE; ELECTRONIC MEDICAL RECORD; ENRICHMENT ANALYSIS; GENETIC DATABASE; HUMAN; MEDDRA; MOLECULAR GENETICS; NOMENCLATURE; PRIORITY JOURNAL; PUBLICATION; RXNORM; STATISTICAL ANALYSIS; SYSTEMATIZED NOMENCLATURE OF MEDICINE;

DISEASE; GENE EXPRESSION PROFILING; HUMANS; MOLECULAR SEQUENCE ANNOTATION; SOFTWARE;

EID: 83755218842     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.04.007     Document Type: Article

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