ArticleBioinformatics advances2026
TSLC: differential abundance analysis method for identifying biologically relevant known microbes.
Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Motivation: Identifying biologically relevant microbes is a crucial task in human microbiome studies. Numerous computational and statistical methods have been proposed for this task. However, most existing methods are based solely on taxonomic information, even when whole-metagenome sequencing data are available, and thus cannot account for the fact that different microbes can perform the same or similar functions (known as Results: To address the issues with existing methods, we propose a two-stage procedure: (i) determining differentially abundant functions between groups; and then (ii) determining microbes significantly associated with each identified differentially abundant function. This procedure involves Availability and implementation: An R package for the proposed method is available at https://github.com/rgbeblavy/TSLC.
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Registered trials
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