Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model

BACKGROUND: Survival analysis is an important part of cancer studies. In addition to the existing Cox proportional hazards model, deep learning models have recently been proposed in survival prediction, which directly integrates multi-omics data of a large number of genes using the fully connected d...

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Detalles Bibliográficos
Autores principales: Feng, Jiarui, Zhang, Heming, Li, Fuhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863359/
https://www.ncbi.nlm.nih.gov/pubmed/33546587
http://dx.doi.org/10.1186/s12859-020-03850-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863359/
https://www.ncbi.nlm.nih.gov/pubmed/33546587
http://dx.doi.org/10.1186/s12859-020-03850-6

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