Gorrochategui, Eva Jaumot, Joaquim Tauler, Romà Additional file 3: of ROIMCR: a powerful analysis strategy for LC-MS metabolomic datasets Figure S2. Augmented LC-MS ROI data matrices of brain samples (Control, C60, SWCNT, ShWCNT and LWCNT) of 15 female and male Zebrafish samples. See also Mutagenesis, 2017, 32, 91–103, open access publication at doi: https://doi.org/10.1093/mutage/gew050 . (TIF 711 kb) LC-MS;Data analysis;Data compression;Data resolution;Regions of interest (ROI);MCR-ALS;Metabolomics;Lipidomics;Chemometrics;Untargeted analysis 2019-05-17
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