MMBDE: A Two-stage Hybrid Feature Selection Method From Microarray Data-Reference-Cited by-同舟云学术

MMBDE: A Two-stage Hybrid Feature Selection Method From Microarray Data

Published:2021-12-09 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Xie Weidong,Chi Yuhuan,Wang Linjie,Yu Kun,Li Wei

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669496.pdf?arnumber=9669496

Reference26 articles.

1. Gene Selection and Classification of Microarray Data Method Based on Mutual Information and Moth Flame Algorithm[J];meftali;Expert Systems with Applications,2020

2. A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open challenges and recommendations

3. A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

4. Binary Encoding Differential Evolution for Combinatorial Optimization Problems

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