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Gradient tree boosting and network propagation for the identification of pan-cancer survival networks
Cancer survival prediction is typically done with uninterpretable machine learning techniques, e.g., gradient tree boosting. Therefore, additional steps are needed to infer biological plausibility of the predictions. Here, we describe a protocol that combines pan-cancer survival prediction with XGBo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059156/ https://www.ncbi.nlm.nih.gov/pubmed/35509973 http://dx.doi.org/10.1016/j.xpro.2022.101353 |