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netReg: network-regularized linear models for biological association studies
SUMMARY: Modelling biological associations or dependencies using linear regression is often complicated when the analyzed data-sets are high-dimensional and less observations than variables are available (n ≪ p). For genomic data-sets penalized regression methods have been applied settling this issu...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030897/ https://www.ncbi.nlm.nih.gov/pubmed/29077797 http://dx.doi.org/10.1093/bioinformatics/btx677 |