The predictive qsar model for hERG inhibitors using bayesian and random forest classification method

Bulletin of the Korean Chemical Society

Volumn 32, Issue 4, 2011, Pages 1237-1240

  Kim, Jun Hyoung ^a   Chae, Chong Hak ^a   Kang, Shin Myung ^a   Lee, Joo Yon ^a   Lee, Gil Nam ^a   Hwang, Soon Hee ^a   Kang, Nam Sook ^a  

^a Korea Research Institute of Chemical Technology   (South Korea)

Author keywords

Bayesian; Classification; hERG; In silico prediction; Random forest

Indexed keywords

BAYESIAN; CLASSIFICATION; HERG; IN-SILICO; RANDOM FORESTS;

CLASSIFICATION (OF INFORMATION); DECISION TREES; ELECTROPHYSIOLOGY; MATHEMATICAL MODELS; MOLECULAR GRAPHICS;

FORECASTING;

EID: 79954609529     PISSN: 02532964     EISSN: 12295949     Source Type: Journal    
DOI: 10.5012/bkcs.2011.32.4.1237     Document Type: Article

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