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...

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Detalles Bibliográficos
Autores principales: Thedinga, Kristina, Herwig, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
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

Internet

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

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