Denoising Autoencoder Normalization for Large-Scale Untargeted Metabolomics by Gas Chromatography–Mass Spectrometry

Large-scale metabolomics assays are widely used in epidemiology for biomarker discovery and risk assessments. However, systematic errors introduced by instrumental signal drifting pose a big challenge in large-scale assays, especially for derivatization-based gas chromatography–mass spectrometry (GC...

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Detalles Bibliográficos
Autores principales: Zhang, Ying, Fan, Sili, Wohlgemuth, Gert, Fiehn, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456436/
https://www.ncbi.nlm.nih.gov/pubmed/37623887
http://dx.doi.org/10.3390/metabo13080944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456436/
https://www.ncbi.nlm.nih.gov/pubmed/37623887
http://dx.doi.org/10.3390/metabo13080944

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