WMRCA + : a weighted majority rule-based clustering method for cancer subtype prediction using metabolic gene sets

WMRCA + : a weighted majority rule-based clustering method for cancer subtype prediction using metabolic gene sets

Abstract Accurate classification of cancer subtypes plays a pivotal role in advancing precision medicine. In this study, we introduce WMRCA + , a novel clustering approach based on a weighted majority rule that integrates multi-omics data and incorporates metabolic gene sets to robustly determine th...

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Bibliographic Details
Main Authors: Guojun Liu, Zhaopo Zhu, Yongqiang Xing, Hu Meng, Khyber Shinwari, Ningkun Xiao, Guoqing Liu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Hereditas
Subjects:
Metabolic gene sets
Cancer subtypes
Multi-omics
Lipid metabolism
Online Access:https://doi.org/10.1186/s41065-025-00487-4
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https://doi.org/10.1186/s41065-025-00487-4

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