A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives
A high-dimensional quantitative structure–activity relationship (QSAR) classification model typically contains a large number of irrelevant and redundant descriptors. In this paper, a new design of descriptor selection for the QSAR classification model estimation method is proposed by adding a new w...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Taylor and Francis Ltd.
2017
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| Online Access: | http://eprints.utm.my/id/eprint/75755/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011872861&doi=10.1080%2f1062936X.2017.1278618&partnerID=40&md5=a88dbbae86abe2fa2598cd8f28788345 |
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