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mzLearn, a data-driven LC/MS signal detection algorithm, enables pre-trained generative models for enhanced patient stratification

2025-01-27

Abstract excerpt

Metabolite alterations are linked to diseases, yet large-scale untargeted metabolomics remains constrained by challenges in signal detection and integration of diverse datasets for developing pre-trained generative models. Here, we introduce mzLearn, a data-driven MS 1 signal-detection and alignment method that runs from mzML files without user-set parameters. Across 15 public datasets, mzLearn detects 11,442 sig...

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Literature Corpus work
16b53acb-a27c-5f16-8fb2-1d3ff271e904
DOI
10.1101/2025.01.26.634927
Open publication

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