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Analysis of high-dimensional metabolomics data with complex temporal dynamics using RM-ASCA+., , , , , , , and . PLoS Comput. Biol., (2023)Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA., , , , , , and . Bioinform., 23 (14): 1792-1800 (2007)Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data., , , and . BMC Syst. Biol., 8 (S-2): S2 (2014)STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse, , , , , , , , , and 20 other author(s). Scientific Data, (October 2019)Separating common from distinctive variation., , , , and . BMC Bioinform., 17 (S-5): S195 (2016)Increased comparability between RNA-Seq and microarray data by utilization of gene sets., , , , and . PLoS Comput. Biol., (2020)iTOP: inferring the topology of omics data., , , , , , and . Bioinform., 34 (17): i988-i996 (2018)All Sparse PCA Models Are Wrong, But Some Are Useful. Part I: Computation of Scores, Residuals and Explained Variance., , , and . CoRR, (2019)Using Petri nets for experimental design in a multi-organ elimination pathway., , , and . Comput. Biol. Medicine, (2015)Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp., , , and . BMC Bioinform., 18 (1): 83:1-83:13 (2017)