SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer

Improved cancer prognosis is a central goal for precision health medicine. Though many models can predict differential survival from data, there is a strong need for sophisticated algorithms that can aggregate and filter relevant predictors from increasingly complex data inputs. In turn, these model...

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Detalles Bibliográficos
Autores principales: Huang, Zhi, Zhan, Xiaohui, Xiang, Shunian, Johnson, Travis S., Helm, Bryan, Yu, Christina Y., Zhang, Jie, Salama, Paul, Rizkalla, Maher, Han, Zhi, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419526/
https://www.ncbi.nlm.nih.gov/pubmed/30906311
http://dx.doi.org/10.3389/fgene.2019.00166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419526/
https://www.ncbi.nlm.nih.gov/pubmed/30906311
http://dx.doi.org/10.3389/fgene.2019.00166

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