High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
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A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machine.A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives.Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical Structure.A sparse QSRR model for predicting retention indices of essential oils based on robust screening approach.
P2860
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
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2016年學術文章
@zh-hant
name
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
@en
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
@nl
type
label
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
@en
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
@nl
prefLabel
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
@en
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.
@nl
P2860
P50
P1476
High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm
@en
P2093
Z Y Algamal
P2860
P304
P356
10.1080/1062936X.2016.1228696
P577
2016-09-14T00:00:00Z