Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent

BACKGROUND: Statistical analyses of biological problems in life sciences often lead to high-dimensional linear models. To solve the corresponding system of equations, penalization approaches are often the methods of choice. They are especially useful in case of multicollinearity, which appears if th...

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Bibliographic Details
Published in:BMC Bioinformatics
Main Authors: Klosa, Jan, Simon, Noah, Westermark, Pål Olof, Liebscher, Volkmar, Wittenburg, Dörte
Format: Artigo
Language:Inglês
Published: BioMed Central 2020
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Software
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7493359/
https://ncbi.nlm.nih.gov/pubmed/32933477
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03725-w
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