Cargando…
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...
Autores principales: | Wang, Lei, Li, Juntao, Liu, Juanfang, Chang, Mingming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
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 |
Ejemplares similares
-
Robust Minimum Divergence Estimation for the Multinomial Circular Logistic Regression Model
por: Castilla, Elena, et al.
Publicado: (2023) -
A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
por: Li, Mingming, et al.
Publicado: (2020) -
Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression
por: Li, Juntao, et al.
Publicado: (2022) -
Multicancer early detection tests: where are we?
por: Loomans-Kropp, Holli A
Publicado: (2022) -
Correlated mutations via regularized multinomial regression
por: Sreekumar, Janardanan, et al.
Publicado: (2011)