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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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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2021
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| Schlagworte: | |
| Online Zugang: | 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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