Enhancing Classification of liquid chromatography mass spectrometry data with Batch Effect Removal Neural Networks (BERNN)

Liquid Chromatography Mass Spectrometry (LC-MS) is a powerful method for profiling complex biological samples. However, batch effects typically arise from differences in sample processing protocols, experimental conditions and data acquisition techniques, significantlyimpacting the interpretability...

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Detalles Bibliográficos
Autores principales: Droit, Arnaud, Pelletier, Simon, Leclerq, Mickaël, Roux-Dalvai, Florence, de Geus, Matthijs, Leslie, Shannon, Wang, Weiwei, Lam, TuKiet, Nairn, Angus, Arnold, Steven, Carlyle, Becky, Precioso, Frederic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350225/
https://www.ncbi.nlm.nih.gov/pubmed/37461653
http://dx.doi.org/10.21203/rs.3.rs-3112514/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350225/
https://www.ncbi.nlm.nih.gov/pubmed/37461653
http://dx.doi.org/10.21203/rs.3.rs-3112514/v1

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