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...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mdpi
2023
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11562/1/J16097_fc692a6f023a80413e40b199966c0376.pdf http://eprints.uthm.edu.my/11562/ https://doi.org/10.3390/genes14030574 |
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