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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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書誌詳細
主要な著者: Bingjun Li, Sheida Nabavi
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2024-01-01
シリーズ:BMC Bioinformatics
主題:
オンライン・アクセス:https://doi.org/10.1186/s12859-023-05622-4
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