RAMRSGL: A Robust Adaptive Multinomial Regression Model for Multicancer Classification

In view of the challenges of the group Lasso penalty methods for multicancer microarray data analysis, e.g., dividing genes into groups in advance and biological interpretability, we propose a robust adaptive multinomial regression with sparse group Lasso penalty (RAMRSGL) model. By adopting the ove...

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Detalles Bibliográficos
Autores principales: Wang, Lei, Li, Juntao, Liu, Juanfang, Chang, Mingming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172296/
https://www.ncbi.nlm.nih.gov/pubmed/34122617
http://dx.doi.org/10.1155/2021/5584684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172296/
https://www.ncbi.nlm.nih.gov/pubmed/34122617
http://dx.doi.org/10.1155/2021/5584684

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