Erratum: Improved machine learning models for predicting selective compounds (Journal of Chemical Information and Modeling (2012) 52:1 (38-50) DOI: 10.1021/ci200346b);Improved machine learning models for predicting selective compounds

Journal of Chemical Information and Modeling

Volumn 52, Issue 1, 2012, Pages 38-50

  Ning, Xia ^a   Walters, Michael ^b   Karypisxy, George ^a  

^a University of Minnesota   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; MULTI-TASK LEARNING;

COMPOUND SELECTIVITY; LEARNING METHODS; MACHINE LEARNING METHODS; MACHINE LEARNING MODELS; MULTI-TASK MODEL; POTENT COMPOUNDS; PREDICTION METHODS; PREDICTION PERFORMANCE;

LEARNING SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; DRUG DEVELOPMENT; METHODOLOGY; MOLECULAR LIBRARY; PREDICTIVE VALUE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DRUG DISCOVERY; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; SMALL MOLECULE LIBRARIES; SOFTWARE;

EID: 84858033532     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci300201j     Document Type: Erratum

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