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VSOLassoBag

Variable Selection Oriented LASSO Bagging Algorithm

v1.0 · Sep 1, 2025 · GPL-3

Description

A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.

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r-devel-windows-x86_64 OK
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ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘SummarizedExperiment’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
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Check History

ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 9, 2026
ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘SummarizedExperiment’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Dependency Network

Dependencies Reverse dependencies glmnet survival ggplot2 POT pbapply SummarizedExperiment VSOLassoBag

Version History

new 1.0 Mar 9, 2026