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PROLONG: Penalized Regression for Outcome guided Longitudinal Omics analysis with Network and Group constraints

2023-11-07

Abstract excerpt

<h4>Motivation</h4> There is a growing interest in longitudinal omics data, but there are gaps in existing methodology in the high-dimensional setting. This paper focuses on selecting metabolites that co-vary with Tuberculosis mycobacterial load. The proposed method is applied to general continuous longitudinal outcomes with continuous longitudinal omics predictors. Simple longitudinal models examining a single o...

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Literature Corpus work
70eb7887-9eb4-57e4-a653-0a2e6f2b4f3d
DOI
10.1101/2023.11.06.565845
Open publication

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PROLONG: Penalized Regression for Outcome guided Longitudinal Omics analysis with Network and Group constraintsDOI 10.1101/2023.11.06.565845
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