A framework for personalized medicine: Prediction of drug sensitivity in cancer by proteomic profiling

Proteome Science

Volumn 10, Issue , 2012, Pages

  Kim, Dong Chul ^a   Wang, Xiaoyu ^b   Yang, Chin Rang ^b   Gao, Jean X ^a  

^a The University of Texas at Arlington   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYCLOPAMINE; DOCETAXEL; GEMCITABINE; OREXIN; PACLITAXEL;

BAYESIAN LEARNING; CANCER THERAPY; CLASSIFIER; CONFERENCE PAPER; DRUG SENSITIVITY; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MEASUREMENT ACCURACY; PERSONALIZED MEDICINE; PREDICTOR VARIABLE; PROBABILITY; PROTEIN EXPRESSION; PROTEOMICS; QUANTITATIVE ANALYSIS; RANDOM FOREST; SUPPORT VECTOR MACHINE;

EID: 84883544637     PISSN: None     EISSN: 14775956     Source Type: Journal    
DOI: 10.1186/1477-5956-10-s1-s13     Document Type: Conference Paper

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