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

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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Bibliographic Details
Main Authors: Zhi Huang, Xiaohui Zhan, Shunian Xiang, Travis S. Johnson, Bryan Helm, Christina Y. Yu, Jie Zhang, Paul Salama, Maher Rizkalla, Zhi Han, Kun Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Genetics
Subjects:
deep Learning
co-expression analysis
survival prognosis
breast cancer
multi-omics
neural networks
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00166/full

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https://www.frontiersin.org/article/10.3389/fgene.2019.00166/full

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