Robust sparse accelerated failure time model for survival analysis

To identify the bio-mark genes related to disease with high dimension and low sample size gene expression data, various regression approaches with different regularization methods have been proposed to solve this problem. Nevertheless, high-noises in biological data significantly reduce the performa...

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Detalles Bibliográficos
Autores principales: Shen, Haiwei, Chai, Hua, Li, Meiping, Zhou, Zhiming, Liang, Yong, Yang, Ziyi, Huang, Haihui, Liu, Xiaoying, Zhang, Bowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004954/
https://www.ncbi.nlm.nih.gov/pubmed/29689755
http://dx.doi.org/10.3233/THC-174141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004954/
https://www.ncbi.nlm.nih.gov/pubmed/29689755
http://dx.doi.org/10.3233/THC-174141

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