I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms

We propose a statistical boosting method, termed I-Boost, to integrate multiple types of high-dimensional genomics data with clinical data for predicting survival time. I-Boost provides substantially higher prediction accuracy than existing methods. By applying I-Boost to The Cancer Genome Atlas, we...

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Detalles Bibliográficos
Autores principales: Wong, Kin Yau, Fan, Cheng, Tanioka, Maki, Parker, Joel S., Nobel, Andrew B., Zeng, Donglin, Lin, Dan-Yu, Perou, Charles M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404283/
https://www.ncbi.nlm.nih.gov/pubmed/30845957
http://dx.doi.org/10.1186/s13059-019-1640-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404283/
https://www.ncbi.nlm.nih.gov/pubmed/30845957
http://dx.doi.org/10.1186/s13059-019-1640-4

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