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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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2024-01-01
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| 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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