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Optimized application of penalized regression methods to diverse genomic data
Motivation: Penalized regression methods have been adopted widely for high-dimensional feature selection and prediction in many bioinformatic and biostatistical contexts. While their theoretical properties are well-understood, specific methodology for their optimal application to genomic data has no...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3232376/ https://ncbi.nlm.nih.gov/pubmed/22156367 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr591 |
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