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Bayesian Data Integration and Variable Selection for Pan-Cancer Survival Prediction using Protein Expression Data
Accurate prognostic prediction using molecular information is a challenging area of research which is essential to develop precision medicine. In this paper, we develop translational models to identify major actionable proteins that are associated with clinical outcomes like the survival time of the...
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| 出版年: | Biometrics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7007312/ https://ncbi.nlm.nih.gov/pubmed/31393003 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13132 |
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