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Ridge regression and its applications in genetic studies

With the advancement of technology, analysis of large-scale data of gene expression is feasible and has become very popular in the era of machine learning. This paper develops an improved ridge approach for the genome regression modeling. When multicollinearity exists in the data set with outliers,...

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Detalles Bibliográficos
Autores principales: Arashi, M., Roozbeh, M., Hamzah, N. A., Gasparini, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031387/
https://www.ncbi.nlm.nih.gov/pubmed/33831027
http://dx.doi.org/10.1371/journal.pone.0245376