Reflections on univariate and multivariate analysis of metabolomics data
Metabolomics experiments usually result in a large quantity of data. Univariate and
multivariate analysis techniques are routinely used to extract relevant information from the …
multivariate analysis techniques are routinely used to extract relevant information from the …
From correlation to causation: analysis of metabolomics data using systems biology approaches
Introduction Metabolomics is a well-established tool in systems biology, especially in the top–
down approach. Metabolomics experiments often results in discovery studies that provide …
down approach. Metabolomics experiments often results in discovery studies that provide …
Harnessing the complexity of metabolomic data with chemometrics
Because of the ever‐increasing number of signals that can be measured within a single run
by modern platforms in analytical chemistry, life sciences datasets become not only …
by modern platforms in analytical chemistry, life sciences datasets become not only …
Autophagy and inflammasome activation in dilated cardiomyopathy
A Caragnano, A Aleksova, M Bulfoni… - Journal of Clinical …, 2019 - mdpi.com
Background: The clinical outcome of patients affected by dilated cardiomyopathy (DCM) is
heterogeneous, since its pathophysiology is only partially understood. Interleukin 1β levels …
heterogeneous, since its pathophysiology is only partially understood. Interleukin 1β levels …
Large-scale plasma metabolome analysis reveals alterations in HDL metabolism in migraine
Objective To identify a plasma metabolomic biomarker signature for migraine. Methods
Plasma samples from 8 Dutch cohorts (n= 10,153: 2,800 migraine patients and 7,353 …
Plasma samples from 8 Dutch cohorts (n= 10,153: 2,800 migraine patients and 7,353 …
MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis
AM Willemsen, DM Hendrickx, HCJ Hoefsloot… - Molecular …, 2015 - pubs.rsc.org
Understanding cellular adaptation to environmental changes is one of the major challenges
in systems biology. To understand how cellular systems react towards perturbations of their …
in systems biology. To understand how cellular systems react towards perturbations of their …
Sparse PLS-based method for overlapping metabolite set enrichment analysis
Metabolite set enrichment analysis (MSEA) has gained increasing research interest for
identification of perturbed metabolic pathways in metabolomics. The method incorporates …
identification of perturbed metabolic pathways in metabolomics. The method incorporates …
A Comparative Analysis of the Metabolomic Response of Electron Beam Inactivated E. coli O26:H11 and Salmonella Typhimurium ATCC 13311
Ionizing radiation such as Electron beam (EB) and gamma irradiation inactivate microbial
cells preventing their multiplication. These cells, however, are structurally intact and appear …
cells preventing their multiplication. These cells, however, are structurally intact and appear …
Metabolomics for phytochemical discovery: development of statistical approaches using a cranberry model system
Metabolomics is the qualitative and quantitative analysis of all of the small molecules in a
biological sample at a specific time and influence. Technologies for metabolomics analysis …
biological sample at a specific time and influence. Technologies for metabolomics analysis …
Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data
P Reshetova, AK Smilde, AHC van Kampen… - BMC systems …, 2014 - Springer
Background High-throughput omics technologies have enabled the measurement of many
genes or metabolites simultaneously. The resulting high dimensional experimental data …
genes or metabolites simultaneously. The resulting high dimensional experimental data …