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

• Main Authors: Xin Hui Tay, Xin Hui Tay, Kasim, Shahreen, Tole Sutikno, Tole Sutikno, Md Fudzee, Mohd Farhan, Hassan, Rohayanti, Emelia Akashah Patah Akhir, Emelia Akashah Patah Akhir, Aziz, Norshakirah, Choon Sen Seah, Choon Sen Seah
• Format: Article
• Language: English
• Published: Mdpi 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/10072/1/J16097_fc692a6f023a80413e40b199966c0376.pdf; http://eprints.uthm.edu.my/10072/; https://doi.org/10.3390/genes14030574

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 ig...