An Entropy-Based Directed Random Walk for Cancer Classification Using Gene Expression Data Based on Bi-Random Walk on Two Separated Networks

An Entropy-Based Directed Random Walk for Cancer Classification Using Gene Expression Data Based on Bi-Random Walk on Two Separated Networks

The integration of microarray technologies and machine learning methods has become popular in predicting the pathological condition of diseases and discovering risk genes. Traditional microarray analysis considers pathways as a simple gene set, treating all genes in the pathway identically while ign...

Full description

Bibliographic Details
Main Authors: Xin Hui Tay, Shahreen Kasim, Tole Sutikno, Mohd Farhan Md Fudzee, Rohayanti Hassan, Emelia Akashah Patah Akhir, Norshakirah Aziz, Choon Sen Seah
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Genes
Subjects:
directed random walk
pathway-based analysis
cancer classification
Online Access:https://www.mdpi.com/2073-4425/14/3/574

Similar Items

Similar Items