Categorical Data Analysis for High-Dimensional Sparse Gene Expression Data

Categorical data analysis becomes challenging when high-dimensional sparse covariates are involved, which is often the case for omics data. We introduce a statistical procedure based on multinomial logistic regression analysis for such scenarios, including variable screening, model selection, order...

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Detalles Bibliográficos
Autores principales: Dousti Mousavi, Niloufar, Aldirawi, Hani, Yang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443356/
https://www.ncbi.nlm.nih.gov/pubmed/37606439
http://dx.doi.org/10.3390/biotech12030052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443356/
https://www.ncbi.nlm.nih.gov/pubmed/37606439
http://dx.doi.org/10.3390/biotech12030052

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