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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| 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 |