Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification

L Sun, X Zhang, Y Qian, J Xu, S Zhang - Information Sciences, 2019 - Elsevier
Gene expression data classification is an important technology for cancer diagnosis in
bioinformatics and has been widely researched. Due to the large number of genes and the …
被引用次数：215 相关文章

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification

L Sun, X Zhang, Y Qian, J Xu, S Zhang - 2019 - dl.acm.org
Gene expression data classification is an important technology for cancer diagnosis in
bioinformatics and has been widely researched. Due to the large number of genes and the …
[PDF] sxu.edu.cn

[PDF][PDF] Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification

L Sun, X Zhang, Y Qian, J Xu, S Zhang - 2019 - dig.sxu.edu.cn
abstract Gene expression data classification is an important technology for cancer diagnosis
in bioinformatics and has been widely researched. Due to the large number of genes and …