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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...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6030897/ https://ncbi.nlm.nih.gov/pubmed/29077797 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx677 |
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