MS-CleanR: A feature-filtering approach to improve annotation rate in untargeted LC-MS based metabolomics
Ophélie Fraisier, Justine Chervin, Guillaume Cabanac, Virginie Puech‐Pagès, Sylvie Fournier, Virginie Durand, Aurélien Amiel, Olivier André, Omar Abdelaziz Benamar, Bernard Dumas, Hiroshi Tsugawa, Guillaume Marti
MS-CleanR improves metabolite annotation rates in untargeted LC-MS by reducing redundant signals while retaining most unique metabolites, enhancing analysis of plant metabolomes.
Analytical Chemistry · Jun 26, 2020Peer-reviewedBioinformatics