A gradient tree boosting and network propagation derived pan-cancer survival network of the tumor microenvironment

Predicting cancer survival from molecular data is an important aspect of biomedical research because it allows quantifying patient risks and thus individualizing therapy. We introduce XGBoost tree ensemble learning to predict survival from transcriptome data of 8,024 patients from 25 different cance...

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Detalles Bibliográficos
Autores principales: Thedinga, Kristina, Herwig, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786644/
https://www.ncbi.nlm.nih.gov/pubmed/35106465
http://dx.doi.org/10.1016/j.isci.2021.103617

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786644/
https://www.ncbi.nlm.nih.gov/pubmed/35106465
http://dx.doi.org/10.1016/j.isci.2021.103617

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