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A multimodal graph neural network framework for cancer molecular subtype classification

Abstract Background The recent development of high-throughput sequencing has created a large collection of multi-omics data, which enables researchers to better investigate cancer molecular profiles and cancer taxonomy based on molecular subtypes. Integrating multi-omics data has been proven to be e...

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Autori principali: Bingjun Li, Sheida Nabavi
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMC 2024-01-01
Serie:BMC Bioinformatics
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Accesso online:https://doi.org/10.1186/s12859-023-05622-4
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