Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

Abstract Background Microarray data have been widely utilized for cancer classification. The main characteristic of microarray data is “large p and small n” in that data contain a small number of subjects but a large number of genes. It may affect the validity of the classification. Thus, there is a...

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Bibliographic Details
Main Authors: Zixuan Wang, Yi Zhou, Tatsuya Takagi, Jiangning Song, Yu-Shi Tian, Tetsuo Shibuya
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Bioinformatics
Subjects:
Cancer classification
Microarray data
Gene selection
Genetic algorithm
Manifold algorithm
Online Access:https://doi.org/10.1186/s12859-023-05267-3

Internet

https://doi.org/10.1186/s12859-023-05267-3

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