Informative Feature Clustering and Selection for Gene Expression Data
Feature selection aims to remove irrelevant and redundant features from input data. For gene expression, selecting important genes from gene expression data is essential since the gene expression data often consists of a large number of genes. However, the commonly-used feature selection methods are...
Main Authors: | Yuqi Yang, Pengshuai Yin, Zhihang Luo, Wenwen Gu, Renjie Chen, Qingyao Wu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8894465/ |
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