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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...

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Principais autores: Hui Wen Nies, Mohd Saberi Mohamad, Zalmiyah Zakaria, Weng Howe Chan, Muhammad Akmal Remli, Yong Hui Nies
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2021-09-01
coleção:Entropy
Assuntos:
prognostic markers
breast cancer
multiclass
microarray analysis
ANOVA
pathway selection
Acesso em linha:https://www.mdpi.com/1099-4300/23/9/1232
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