Using PharmGKB to train text mining approaches for identifying potential gene targets for pharmacogenomic studies

Journal of Biomedical Informatics

Volumn 45, Issue 5, 2012, Pages 862-869

  Pakhomov, S ^a   McInnes, B T ^a   Lamba, J ^a   Liu, Y ^a   Melton, G B ^b   Ghodke, Y ^a   Bhise, N ^a   Lamba, V ^a   Birnbaum, A K ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Gene drug associations; Pathway driven analysis; Pharmacogenomics; PharmGKB; Support vector machine; Text mining

Indexed keywords

AUTOMATIC CLASSIFIERS; CARBAMAZEPINE; LAMIVUDINE; MEDLINE; PATHWAY-DRIVEN ANALYSIS; PHARMACOGENOMIC STUDY; PHARMACOGENOMICS; PHARMGKB; PREDICTIVE MODELS; QUALITATIVE ANALYSIS; TEXT MINING; TRAINING DATA;

ABSTRACTING; AMIDES; DATA MINING; DATABASE SYSTEMS; GENES; SUPPORT VECTOR MACHINES;

GENETIC ENGINEERING;

BUSULFAN; CARBAMAZEPINE; CYTARABINE; CYTOCHROME P450 2C9; GEMCITABINE; LAMIVUDINE; RAPAMYCIN; SERTRALINE; SIMVASTATIN; SORAFENIB; TACROLIMUS; TAMOXIFEN; TIOGUANINE; TOLBUTAMIDE; TRASTUZUMAB; VENLAFAXINE; VINCRISTINE; WARFARIN; ZIDOVUDINE;

ALGORITHM; ARTICLE; DATA BASE; GENE TARGETING; HUMAN; MACHINE LEARNING; MEDLINE; PHARMACOGENOMICS; PREDICTIVE VALUE; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, GENETIC; DRUG DISCOVERY; GENES; HUMANS; KNOWLEDGE BASES; MEDLINE; PHARMACOGENETICS; SUPPORT VECTOR MACHINES;

EID: 84865997531     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2012.04.007     Document Type: Article

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