An Adaptive Unsupervised Feature Selection Algorithm Based on MDS for Tumor Gene Data Classification

An Adaptive Unsupervised Feature Selection Algorithm Based on MDS for Tumor Gene Data Classification

Identifying the key genes related to tumors from gene expression data with a large number of features is important for the accurate classification of tumors and to make special treatment decisions. In recent years, unsupervised feature selection algorithms have attracted considerable attention in th...

Full description

Bibliographic Details
Main Authors: Bo Jin, Chunling Fu, Yong Jin, Wei Yang, Shengbin Li, Guangyao Zhang, Zheng Wang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
unsupervised feature selection
gene data
tumor classification
structure learning
Online Access:https://www.mdpi.com/1424-8220/21/11/3627

Internet

https://www.mdpi.com/1424-8220/21/11/3627

Similar Items