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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Detalles Bibliográficos
Autores principales: Tay, Xin Hui, Kasim, Shahreen, Sutikno, Tole, Fudzee, Mohd Farhan Md, Hassan, Rohayanti, Patah Akhir, Emelia Akashah, Aziz, Norshakirah, Seah, Choon Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048140/
https://www.ncbi.nlm.nih.gov/pubmed/36980844
http://dx.doi.org/10.3390/genes14030574

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048140/
https://www.ncbi.nlm.nih.gov/pubmed/36980844
http://dx.doi.org/10.3390/genes14030574

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