Multivariate Boosting for Integrative Analysis of High-Dimensional Cancer Genomic Data

In this paper, we propose a novel multivariate component-wise boosting method for fitting multivariate response regression models under the high-dimension, low sample size setting. Our method is motivated by modeling the association among different biological molecules based on multiple types of hig...

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Detalles Bibliográficos
Autores principales: Xiong, Lie, Kuan, Pei-Fen, Tian, Jianan, Keles, Sunduz, Wang, Sijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2015
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648611/
https://www.ncbi.nlm.nih.gov/pubmed/26609213
http://dx.doi.org/10.4137/CIN.S16353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648611/
https://www.ncbi.nlm.nih.gov/pubmed/26609213
http://dx.doi.org/10.4137/CIN.S16353

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