High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm
In high-dimensional quantitative structure–activity relationship (QSAR) modelling, penalization methods have been a popular choice to simultaneously address molecular descriptor selection and QSAR model estimation. In this study, a penalized linear regression model with L1/2-norm is proposed. Furthe...
| Main Authors: | , , , |
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| Format: | Article |
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Taylor and Francis Ltd.
2016
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