Qualitative and quantitative structure-activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals.
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High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives.Predicting the hazardous dose of industrial chemicals in warm-blooded species using machine learning-based modelling approaches.Room-temperature and temperature-dependent QSRR modelling for predicting the nitrate radical reaction rate constants of organic chemicals using ensemble learning methods.
P2860
Qualitative and quantitative structure-activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
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name
Qualitative and quantitative s ...... tructurally diverse chemicals.
@en
type
label
Qualitative and quantitative s ...... tructurally diverse chemicals.
@en
prefLabel
Qualitative and quantitative s ...... tructurally diverse chemicals.
@en
P2093
P2860
P1476
Qualitative and quantitative s ...... tructurally diverse chemicals.
@en
P2093
P2860
P304
P356
10.1080/1062936X.2014.994562
P577
2015-01-28T00:00:00Z