Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data

BACKGROUND: Understanding the complex biological mechanisms of cancer patient survival using genomic and clinical data is vital, not only to develop new treatments for patients, but also to improve survival prediction. However, highly nonlinear and high-dimension, low-sample size (HDLSS) data cause...

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Bibliographic Details
Published in:BMC Med Genomics
Main Authors: Hao, Jie, Kim, Youngsoon, Mallavarapu, Tejaswini, Oh, Jung Hun, Kang, Mingon
Format: Artigo
Language:Inglês
Published: BioMed Central 2019
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Research
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6927105/
https://ncbi.nlm.nih.gov/pubmed/31865908
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-019-0624-2
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