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...

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Detalles Bibliográficos
Autores principales: Jo, Jongkwon, Jung, Seungha, Park, Joongyang, Kim, Youngsoon, Kang, Mingon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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