Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data

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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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Bibliographic Details
Main Authors: Jongkwon Jo, Seungha Jung, Joongyang Park, Youngsoon Kim, Mingon Kang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714948/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714948/?tool=EBI

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