Comparative analysis of local and consensus quantitative structure-activity relationship approaches for the prediction of bioconcentration factor.
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Use of machine learning approaches for novel drug discovery.Classifying bio-concentration factor with random forest algorithm, influence of the bio-accumulative vs. non-bio-accumulative compound ratio to modelling result, and applicability domain for random forest model.Structure-activity relationship study of trifluoromethylketone inhibitors of insect juvenile hormone esterase: comparison of several classification methods.External validation of structure-biodegradation relationship (SBR) models for predicting the biodegradability of xenobiotics.
P2860
Comparative analysis of local and consensus quantitative structure-activity relationship approaches for the prediction of bioconcentration factor.
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2013年の論文
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2013年学术文章
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name
Comparative analysis of local ...... on of bioconcentration factor.
@en
Comparative analysis of local ...... on of bioconcentration factor.
@nl
type
label
Comparative analysis of local ...... on of bioconcentration factor.
@en
Comparative analysis of local ...... on of bioconcentration factor.
@nl
prefLabel
Comparative analysis of local ...... on of bioconcentration factor.
@en
Comparative analysis of local ...... on of bioconcentration factor.
@nl
P2093
P2860
P1476
Comparative analysis of local ...... on of bioconcentration factor.
@en
P2093
P2860
P304
P356
10.1080/1062936X.2012.762426
P577
2013-02-14T00:00:00Z