QSAR with experimental and predictive distributions: an information theoretic approach for assessing model quality.
about
Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.How accurately can we predict the melting points of drug-like compounds?Applicability Domain Dependent Predictive Uncertainty in QSAR Regressions.Time dependent analysis of assay comparability: a novel approach to understand intra- and inter-site variability over time.Using beta binomials to estimate classification uncertainty for ensemble models
P2860
QSAR with experimental and predictive distributions: an information theoretic approach for assessing model quality.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
QSAR with experimental and pre ...... h for assessing model quality.
@en
type
label
QSAR with experimental and pre ...... h for assessing model quality.
@en
prefLabel
QSAR with experimental and pre ...... h for assessing model quality.
@en
P2093
P2860
P1476
QSAR with experimental and pre ...... h for assessing model quality.
@en
P2093
David J Wood
Jonna Stålring
Lars Carlsson
Martin Eklund
P2860
P2888
P304
P356
10.1007/S10822-013-9639-5
P50
P577
2013-03-16T00:00:00Z
P5875
P6179
1034897666