Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
about
Asymmetric bagging and feature selection for activities prediction of drug moleculesIn silico approach to screen compounds active against parasitic nematodes of major socio-economic importance.THE INTERACTIVE DECISION COMMITTEE FOR CHEMICAL TOXICITY ANALYSIS.Random forests for feature selection in QSPR Models - an application for predicting standard enthalpy of formation of hydrocarbonsQSAR-assisted virtual screening of lead-like molecules from marine and microbial natural sources for antitumor and antibiotic drug discovery.Structure-activity relationship study of trifluoromethylketone inhibitors of insect juvenile hormone esterase: comparison of several classification methods.A chemoinformatics approach to the discovery of lead-like molecules from marine and microbial sources en route to antitumor and antibiotic drugs.Ensemle Feature Selection: Consistent Descriptor Subsets for Multiple QSAR Models
P2860
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P2860
Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
description
2007 nî lūn-bûn
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Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
@en
Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
@nl
type
label
Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
@en
Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
@nl
prefLabel
Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
@en
Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
@nl
P2093
P356
P1476
Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.
@en
P2093
Debojyoti Dutta
Rajarshi Guha
P304
P356
10.1021/CI600563W
P577
2007-04-04T00:00:00Z