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Using penalized regression to predict phenotype from SNP data
BACKGROUND: In a typical genome-enabled prediction problem there are many more predictor variables than response variables. This prohibits the application of multiple linear regression, because the unique ordinary least squares estimators of the regression coefficients are not defined. To overcome t...
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| Udgivet i: | BMC Proc |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6157193/ https://ncbi.nlm.nih.gov/pubmed/30275888 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12919-018-0149-2 |
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