The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data

Feature selection plays an important role in improving the performance of classification or reducing the dimensionality of high-dimensional datasets, such as high-throughput genomics/proteomics data in bioinformatics. As a popular approach with computational efficiency and scalability, information t...

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Bibliographic Details

Published in:	Entropy
Main Authors:	Yangyang Wang, Xiaoguang Gao, Xinxin Ru, Pengzhan Sun, Jihan Wang
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Subjects:	feature selection information theory The Cancer Proteome Atlas (TCPA) The Cancer Genome Atlas (TCGA) lung cancer Bayesian network
Online Access:	https://www.mdpi.com/1099-4300/25/7/1003