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Penalized Regression and Risk Prediction in Genome-Wide Association Studies
An important task in personalized medicine is to predict disease risk based on a person’s genome, e.g. on a large number of single-nucleotide polymorphisms (SNPs). Genome-wide association studies (GWAS) make SNP and phenotype data available to researchers. A critical question for researchers is how...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3859439/ https://ncbi.nlm.nih.gov/pubmed/24348893 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sam.11183 |
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