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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870402/ https://www.ncbi.nlm.nih.gov/pubmed/29587627 http://dx.doi.org/10.1186/s12859-018-2114-5 |