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Practical Issues in Screening and Variable Selection in Genome-Wide Association Analysis
Variable selection methods play an important role in high-dimensional statistical modeling and analysis. Computational cost and estimation accuracy are the two main concerns for statistical inference from ultrahigh-dimensional data. In particular, genome-wide association studies (GWAS), which focus...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Libertas Academica
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4298256/ https://www.ncbi.nlm.nih.gov/pubmed/25635166 http://dx.doi.org/10.4137/CIN.S16350 |