An adaptive feature selection algorithm based on MDS with uncorrelated constraints for tumor gene data classification

An adaptive feature selection algorithm based on MDS with uncorrelated constraints for tumor gene data classification

The developing of DNA microarray technology has made it possible to study the cancer in view of the genes. Since the correlation between the genes is unconsidered, current unsupervised feature selection models may select lots of the redundant genes during the feature selecting due to the over focusi...

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Bibliographic Details
Main Authors: Wenkui Zheng, Guangyao Zhang, Chunling Fu, Bo Jin
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
unsupervised feature selection
gene expression data
cancer classification
uncorrelated constraint
structure learning
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023286?viewType=HTML

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