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Additional file 1: of ROIMCR: a powerful analysis strategy for LC-MS metabolomic datasets

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posted on 2019-05-17, 05:00 authored by Eva Gorrochategui, Joaquim Jaumot, RomĂ Tauler
Table S1. Coincident ROIs obtained both with our methodology and with centWave algorithm of XCMS package of Work4Metabolomics http://workflow4metabolomics.org/ webpage. The number of ROIs is indicated in this table together with the difference in m/z among these values. (DOCX 26 kb)

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FP7 Ideas: European Research Council

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    BMC Bioinformatics

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    Keywords

    LC-MSData analysisData compressionData resolutionRegions of interest (ROI)MCR-ALSMetabolomicsLipidomicsChemometricsUntargeted analysis

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