A Unified Multi-Class Feature Selection Framework for Microarray Data-Reference-Cited by-同舟云学术

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A Unified Multi-Class Feature Selection Framework for Microarray Data

Published:2023-11 Issue:6 Volume:20 Page:3725-3736
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Ding Xiaojian¹^ORCID,Yang Fan¹^ORCID,Ma Fumin¹^ORCID,Chen Shilin²^ORCID

Affiliation:

1. College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China

2. Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, Jiangsu, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu

Colleges and Universities in Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10373680/10247552.pdf?arnumber=10247552

Reference53 articles.

1. Multi-class feature selection with support vector machines;Chapelle

2. Unsupervised feature selection by regularized self-representation

3. A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

4. Graph self-representation method for unsupervised feature selection

5. Feature selection based on FDA and F-score for multi-class classification

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