Chi-MIC-share: a new feature selection algorithm for quantitative structure–activity relationship models-Reference-Cited by-同舟云学术

Chi-MIC-share: a new feature selection algorithm for quantitative structure–activity relationship models

Published:2020 Issue:34 Volume:10 Page:19852-19860
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Li Yuting¹²³^ORCID,Dai Zhijun¹²³,Cao Dan¹²³,Luo Feng⁴⁵⁶⁷,Chen Yuan¹²³,Yuan Zheming¹²³⁸²

Affiliation:

1. Hunan Engineering & Technology Research Center for Agricultural Big Data Analysis & Decision-making

2. Hunan Agricultural University

3. China

4. School of Computing

5. Clemson University

6. Clemson

7. USA

8. Hunan Provincial Key Laboratory of Crop Germplasm Innovation and Utilization

Abstract

An algorithm based on an improved maximal information coefficient and a redundant allocation strategy, which can terminate feature selection automatically, is presented.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Scientific Research Foundation of Hunan Provincial Education Department

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/RA/D0RA00061B

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