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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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| 發表在: | BMC Med Genomics |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
BioMed Central
2019
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| 主題: | |
| 在線閱讀: | 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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