A novel hybrid gene selection for tumor identification by combining multifilter integration and a recursive flower pollination search algorithm-Reference-Cited by-同舟云学术

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A novel hybrid gene selection for tumor identification by combining multifilter integration and a recursive flower pollination search algorithm

Published:2023-02 Issue: Volume:262 Page:110250
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Min,Ke Lin,Wang Lei,Deng Shaobo,Yu Xiang

Funder

National Natural Science Foundation of China

Jiangsu Provincial Department of Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference54 articles.

1. New gene selection method for multiclass tumor classification by class centroid;Shen;J. Biomed. Inform.,2009

2. A gene selection method for microarray data based on risk genes;Wong;Expert Syst. Appl.,2011

3. Rough set based maximum relevance-maximum significance criterion and gene selection from microarray data;Maji;Internat. J. Approx. Reason.,2011

4. An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data;Lee;Expert Syst. Appl.,2021

5. An improved SSO algorithm for cyber-enabled tumor risk analysis based on gene selection;Ye;Future Gener. Comput. Syst.,2019

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