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Genome-wide association analysis by lasso penalized logistic regression
Motivation: In ordinary regression, imposition of a lasso penalty makes continuous model selection straightforward. Lasso penalized regression is particularly advantageous when the number of predictors far exceeds the number of observations. Method: The present article evaluates the performance of l...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Oxford University Press
2009
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2732298/ https://ncbi.nlm.nih.gov/pubmed/19176549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp041 |
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