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Obtaining insights from high-dimensional data: sparse principal covariates regression
BACKGROUND: Data analysis methods are usually subdivided in two distinct classes: There are methods for prediction and there are methods for exploration. In practice, however, there often is a need to learn from the data in both ways. For example, when predicting the antibody titers a few weeks afte...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870402/ https://ncbi.nlm.nih.gov/pubmed/29587627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2114-5 |
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