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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...
Autores principales: | Nies, Hui Wen, Mohamad, Mohd Saberi, Zakaria, Zalmiyah, Chan, Weng Howe, Remli, Muhammad Akmal, Nies, Yong Hui |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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