TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology

Abstract Cancer is a complex disease composing systemic alterations in multiple scales. In this study, we develop the Tumor Multi-Omics pre-trained Network (TMO-Net) that integrates multi-omics pan-cancer datasets for model pre-training, facilitating cross-omics interactions and enabling joint repre...

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Autors principals:	Feng-ao Wang, Zhenfeng Zhuang, Feng Gao, Ruikun He, Shaoting Zhang, Liansheng Wang, Junwei Liu, Yixue Li
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2024-06-01
Col·lecció:	Genome Biology
Matèries:	Multi-omics Model pre-training Transfer learning Prognosis prediction Cancers
Accés en línia:	https://doi.org/10.1186/s13059-024-03293-9
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