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Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data
High-dimensional LASSO (Hi-LASSO) is a powerful feature selection tool for high-dimensional data. Our previous study showed that Hi-LASSO outperformed the other state-of-the-art LASSO methods. However, the substantial cost of bootstrapping and the lack of experiments for a parametric statistical tes...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714948/ https://www.ncbi.nlm.nih.gov/pubmed/36455001 http://dx.doi.org/10.1371/journal.pone.0278570 |