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

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

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...

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Bibliographic Details
Main Authors: Algamal, Zakariya Yahya, Lee, Muhammad Hisyam, Al-Fakih, Abdo Mohammed
Format: Article
Published: John Wiley and Sons Ltd 2016
Subjects:
Q Science (General)
Online Access: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
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Institution: Universiti Teknologi Malaysia

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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

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