High-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives based on the sparse logistic regression model with a bridge penalty

• 主要な著者: Algamal, Z. Y., Lee, M. H., Al-Fakih, A. M., Aziz, M.
• フォーマット: 論文
• 出版事項: John Wiley and Sons Ltd 2017
• 主題: QA Mathematics
• オンライン･アクセス: http://eprints.utm.my/id/eprint/76444/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017532383&doi=10.1002%2fcem.2889&partnerID=40&md5=92b3166570641182f2b42a6a5c827275

This study addresses the problem of the high-dimensionality of quantitative structure-activity relationship (QSAR) classification modeling. A new selection of descriptors that truly affect biological activity and a QSAR classification model estimation method are proposed by combining the sparse logi...