PROLONG: penalized regression for outcome guided longitudinal omics analysis with network and group constraints

An R package implementing described methods called "prolong" is available at https://github.com/stevebroll/prolong. Code snapshot available at 10.5281/zenodo.14804245.

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Publication Details

Journal
Bioinformatics
Published
2025-02-27
DOI
https://doi.org/10.1093/bioinformatics/btaf099
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
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article

PROLONG: penalized regression for outcome guided longitudinal omics analysis with network and group constraints

Sumanta Basu, Myung Hee Lee, Martin T. Wells, Steve Broll
Bioinformatics
Metabolomics and Mass Spectrometry Studies
article

PROLONG: penalized regression for outcome guided longitudinal omics analysis with network and group constraints

Sumanta Basu, Myung Hee Lee, Martin T. Wells, Steve Broll
article en

Abstract

An R package implementing described methods called "prolong" is available at https://github.com/stevebroll/prolong. Code snapshot available at 10.5281/zenodo.14804245.

BioinformaticsVol. 41(4)
Cornell University (US)
Good health and well-being
Openalex Percentile: Top 96%
Metabolomics and Mass Spectrometry Studies
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PROLONG: penalized regression for outcome guided longitudinal omics analysis with network and group constraints — Sumanta Basu, Myung Hee Lee, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS