TY - CHAP A1 - Lisec, Jan A1 - Jaeger, C. ED - Antonio, C. T1 - Statistical and Multivariate Analysis of MS-Based Plant Metabolomics Data T2 - Plant Metabolomics: Methods and Protocols N2 - Raw data from metabolomics experiments are initially subjected to peak identification and signal deconvolution to generate raw data matrices m × n, where m are samples and n are metabolites. We describe here simple statistical procedures on such multivariate data matrices, all provided as functions in the programming environment R, useful to normalize data, detect biomarkers, and perform sample classification. KW - Mass-Spectrometry KW - Multivariate Statistics PY - 2018 SN - 978-1-4939-7819-9 SN - 978-1-4939-7818-2 DO - https://doi.org/10.1007/978-1-4939-7819-9_20 SN - 1064-3745 SN - 1940-6029 VL - 1778 SP - Chapter 20, 285 EP - 296 PB - Springer-Verlag AN - OPUS4-45492 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -