High-dimensional quantitative structure-activity relationship modeling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on a two-stage adaptive penalized rank regression

• Main Authors: Algamal, Zakariya Yahya, Lee, Muhammad Hisyam, Al-Fakih, Abdo Mohammed
• 格式: Article
• 出版: John Wiley and Sons Ltd 2016
• 主題: Q Science (General)
• 在線閱讀: http://eprints.utm.my/id/eprint/73874/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956940609&doi=10.1002%2fcem.2766&partnerID=40&md5=41bd5b8a2d272692a0c09ecf0c4c3aae
• 機構: Universiti Teknologi Malaysia

Outliers in the biological activity variable or the heavy tailed distribution of the error are often encountered in practice. Under these circumstances, the quantittative structure-activity relationship (QSAR) model using multiple linear regression is not efficient. In this paper, a two-stage adapti...