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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 ig...

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Bibliographic Details
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
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Internet

http://eprints.uthm.edu.my/10072/1/J16097_fc692a6f023a80413e40b199966c0376.pdf
http://eprints.uthm.edu.my/10072/
https://doi.org/10.3390/genes14030574

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