CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data

CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data

(Aim) Gene expression data is typically high dimensional with a limited number of samples and contain many features that are unrelated to the disease of interest. Existing unsupervised feature selection algorithms primarily focus on the significance of features in maintaining the data structure whil...

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Bibliographic Details
Main Authors:	Zhaozhao Xu, Fangyuan Yang, Hong Wang, Junding Sun, Hengde Zhu, Shuihua Wang, Yudong Zhang
Format:	Article
Language:	English
Published:	Elsevier 2023-10-01
Series:	Journal of King Saud University: Computer and Information Sciences
Subjects:	Gene expression data Clustering-guided Unsupervised feature selection k-means Spectral clustering
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157823002859

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