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FGCNSurv: dually fused graph convolutional network for multi-omics survival prediction
MOTIVATION: Survival analysis is an important tool for modeling time-to-event data, e.g. to predict the survival time of patient after a cancer diagnosis or a certain treatment. While deep neural networks work well in standard prediction tasks, it is still unclear how to best utilize these deep mode...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412406/ https://www.ncbi.nlm.nih.gov/pubmed/37522887 http://dx.doi.org/10.1093/bioinformatics/btad472 |