BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks
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, significantly impacting the interpretabilit...
Main Authors: | Pelletier, SJ, Leclercq, M, Roux-Dalvai, F, de Geus, MB, Leslie, S, Wang, W, Lam, TT, Nairn, AC, Arnold, SE, Carlyle, BC, Precioso, F, Droit, A |
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Format: | Journal article |
Language: | English |
Published: |
Nature Research
2024
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