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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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Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Arashi, M., Roozbeh, M., Hamzah, N. A., Gasparini, M.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2021
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8031387/
https://ncbi.nlm.nih.gov/pubmed/33831027
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0245376
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