Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data

MOTIVATION: Untargeted metabolomics by mass spectrometry is the method of choice for unbiased analysis of molecules in complex samples of biological, clinical or environmental relevance. The exceptional versatility and sensitivity of modern high-resolution instruments allows profiling of thousands o...

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Detalles Bibliográficos
Autores principales: Dmitrenko, Andrei, Reid, Michelle, Zamboni, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978579/
https://www.ncbi.nlm.nih.gov/pubmed/36825815
http://dx.doi.org/10.1093/bioinformatics/btad096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978579/
https://www.ncbi.nlm.nih.gov/pubmed/36825815
http://dx.doi.org/10.1093/bioinformatics/btad096

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