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Cross-platform metabolomics imputation using importance-weighted autoencoders

2025-03-06

Abstract excerpt

<h4>Background</h4> Metabolomics data are often generated through different analytical platforms and different methods of identification and quantification which makes their synthesis and large-scale replication challenging. To address this, we applied generative deep learning to impute metabolites assayed by Metabolon, a commonly used commercial platform, using metabolomic features acquired by an untargeted liqui...

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Literature Corpus work
f6353b77-5004-5496-bb0b-d36115337b6c
DOI
10.1101/2025.03.06.25323475
Open publication

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Cross-platform metabolomics imputation using importance-weighted autoencodersDOI 10.1101/2025.03.06.25323475
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