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A selective review of robust variable selection with applications in bioinformatics
A drastic amount of data have been and are being generated in bioinformatics studies. In the analysis of such data, the standard modeling approaches can be challenged by the heavy-tailed errors and outliers in response variables, the contamination in predictors (which may be caused by, for instance,...
Guardat en:
| Publicat a: | Brief Bioinform |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4570200/ https://ncbi.nlm.nih.gov/pubmed/25479793 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbu046 |
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