Author

Joong-Yang Park

Gyeongsang National UniversityORCID 0000-0002-6815-9996Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Jongkwon Jo· 1 shared Mingon KangiD· 1 shared Seungha Jung· 1 shared Young Soon KimiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Jongkwon Jo

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1 paper

Recent·Most cited

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

Jongkwon Jo, Seungha Jung, Joong-Yang Park, Young Soon Kim, Mingon Kang

Hi-LASSO provides Python and Apache Spark packages for efficient feature selection in high-dimensional data, with improved performance and scalability through parallel implementation and parametric statistical tests.

PLoS ONE · Dec 1, 2022Peer-reviewedBioinformatics