Pancancer survival prediction using a deep learning architecture with multimodal representation and integration

Abstract Motivation Use of multi-omics data carrying comprehensive signals about the disease is strongly desirable for understanding and predicting disease progression, cancer particularly as a serious disease with a high mortality rate. However, recent methods currently fail to effectively utilize...

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Veröffentlicht in:	Bioinformatics advances 2023-01, Vol.3 (1), p.vbad006-vbad006
Hauptverfasser:	Fan, Ziling, Jiang, Zhangqi, Liang, Hengyu, Han, Chao
Format:	Artikel
Sprache:	eng
Schlagworte:	Original
Online-Zugang:	Volltext
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