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Lemonite: identification of regulatory metabolites through data-driven, interpretable integration of transcriptomics and metabolomics data

2026-03-30

Abstract excerpt

Current transcriptomics–metabolomics integration approaches are either limited by poor interpretability or constrained by incomplete prior knowledge, preventing the systematic identification of regulatory metabolites. Here, we present Lemonite, a data–driven and interpretable framework for integrating bulk transcriptomics and metabolomics data to uncover regulatory metabolites acting on gene modules. Lemonite exte...

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Literature Corpus work
15e27453-88cc-50d7-bf35-abbcaac1258a
DOI
10.64898/2026.03.27.714373
Open publication

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Lemonite: identification of regulatory metabolites through data-driven, interpretable integration of transcriptomics and metabolomics dataDOI 10.64898/2026.03.27.714373
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