Molecular Subtyping of Cancer Based on Robust Graph Neural Network and Multi-Omics Data Integration

Accurate molecular subtypes prediction of cancer patients is significant for personalized cancer diagnosis and treatments. Large amount of multi-omics data and the advancement of data-driven methods are expected to facilitate molecular subtyping of cancer. Most existing machine learning–based method...

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Auteurs principaux: Chaoyi Yin, Yangkun Cao, Peishuo Sun, Hengyuan Zhang, Zhi Li, Ying Xu, Huiyan Sun
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2022-05-01
Collection:Frontiers in Genetics
Sujets:
molecular subtyping of cancer
multi-omics data
feature selection
graph convolutional networks
subtype-specific biomarkers
Accès en ligne:https://www.frontiersin.org/articles/10.3389/fgene.2022.884028/full
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