Predicting the biological activities of triazole derivatives as SGLT2 inhibitors using multilayer perceptron neural network, support vector machine, and projection pursuit regression models-Reference-Cited by-同舟云学术

Predicting the biological activities of triazole derivatives as SGLT2 inhibitors using multilayer perceptron neural network, support vector machine, and projection pursuit regression models

Published:2016-08 Issue: Volume:156 Page:166-173
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Yuan Jintao,Yu Shuling,Gao Shufang,Gan Ying,Zhang Yi,Zhang Ting,Wang Yali,Yang Liu,Shi Jiahua^ORCID,Yao Wu

Funder

China Postdoctoral Science Foundation

Postdoctoral Research Sponsorship in Henan Province

Joint Fund of National Natural Science Foundation of China and Henan Province

Scientific and Technological Key Project Education Department of Henan Province

National Science Foundation for Young Scientists of China

Scientific Research Foundation of Henan University

National Natural Science Foundation of China

open project of Key Laboratory of Environmental Medicine Engineering of Ministry of Education in Southeast University

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

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