An efficient model selection for linear discriminant function-based recursive feature elimination-Reference-Cited by-同舟云学术

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An efficient model selection for linear discriminant function-based recursive feature elimination

Published:2022-05 Issue: Volume:129 Page:104070
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Ding Xiaojian,Yang Fan,Ma Fuming

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. Machine learning and feature selection for drug response prediction in precision oncology applications;Ali;Biophys. Rev.,2019

2. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays;Alon;Proc. Nat. Acad. Sci.,1999

3. Supervised, unsupervised, and semi-supervised feature selection: A review on gene selection;Ang;IEEE/ACM Trans. Comput. Biol. Bioinf.,2016

4. Automatic model selection for the optimization of svm kernels;Ayat;Pattern Recogn.,2005

5. A pso and pattern search based memetic algorithm for svms parameters optimization;Bao;Neurocomputing,2013

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