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

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 the mult...

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Detalles Bibliográficos
Autores principales: Fan, Ziling, Jiang, Zhangqi, Liang, Hengyu, Han, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945067/
https://www.ncbi.nlm.nih.gov/pubmed/36845202
http://dx.doi.org/10.1093/bioadv/vbad006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945067/
https://www.ncbi.nlm.nih.gov/pubmed/36845202
http://dx.doi.org/10.1093/bioadv/vbad006

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