Observing and Interpreting Correlations in Metabolic Networks

By Ralph E. Steuer, Jürgen Kurths, Oliver Fiehn, Wolfram Weckwerth. Bioinform., 2003

298 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3a5c729f1a471981ea59481d84655c11b5711fe9

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In Molecular Biology

Citations in the corpus

A correlation network approach to metabolic data analysis for tomato fruits (2008, background): “Metabolite correlations are believed to provide a ‘fingerprint’ of the underlying biophysical system ( Steuer et al. 2003b; Steuer et al. 2003a; Weckwerth et al. 2004; Morgenthal et al. 2006).”
Metabolomics for functional genomics, systems biology, and biotechnology. (2010, background): “Several theoretical studies pointed out that factors such as equilibrium between neighboring metabolites, shared biosynthetic enzymes, and coordinated regulation of gene expression are likely to be responsible for the correlation between the levels of metabolites (19, 21, 104, 185, 207).”
Correlative GC-TOF-MS-based metabolite profiling and LC-MS-based protein profiling reveal time-related systemic regulation of metabolite–protein networks and improve pattern recognition for multiple biomarker selection (2005, background): “…network analysis reveals differences in biochemical regulation as discussed recently (Steuer et al., 2003; Weckwerth, 2003; Weckwerth et al., 2004a) correlations per se give only hints to altered pathway activities and cannot be explained straightforward (Steuer et al., 2003; Camacho et al., 2005).”
Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007, background): “As mentioned earlier, there can be significant correlations between different metabolites as a series of samples are measured as part of a study, whatever the mechanism (Kose et al., 2001; Steuer et al., 2003; Camacho et al., 2005; Weckwerth and Morgenthal, 2005; Steuer, 2006).”
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data (2011, methodology): “Previous works focused on the modeling of biological replicates with intrinsic noise on the metabolite levels [5].”
Computational mass spectrometry for small molecules (2013, background): “As the concentration of metabolites taken from plants with identical genotype and grown under uniform conditions still show variability, this approach can also be used if no multiple mutant genotypes are available [227].”