Enhanced Directed Random Walk for the Identification of Breast Cancer Prognostic Markers from Multiclass Expression Data

Artificial intelligence in healthcare can potentially identify the probability of contracting a particular disease more accurately. There are five common molecular subtypes of breast cancer: luminal A, luminal B, basal, ERBB2, and normal-like. Previous investigations showed that pathway-based microa...

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Detalles Bibliográficos
Autores principales: Nies, Hui Wen, Mohamad, Mohd Saberi, Zakaria, Zalmiyah, Chan, Weng Howe, Remli, Muhammad Akmal, Nies, Yong Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472068/
https://www.ncbi.nlm.nih.gov/pubmed/34573857
http://dx.doi.org/10.3390/e23091232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472068/
https://www.ncbi.nlm.nih.gov/pubmed/34573857
http://dx.doi.org/10.3390/e23091232

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