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Inferring metabolite interactomes via molecular structure informed Bayesian graphical model selection with an application to coronary artery disease

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Circulating levels of plasminogen and oxidized phospholipids bound to plasminogen distinguish between atherothrombotic and non-atherothrombotic myocardial infarction
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Distinguishing between the metabolome and xenobiotic exposome in environmental field samples analysed by direct-infusion mass spectrometry based metabolomics and lipidomics
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Molecular phenotyping of a UK population: defining the human serum metabolome
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Metabolomic changes during cellular transformation monitored by metabolite–metabolite correlation analysis and correlated with gene expression
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Effect of gut microbiota on host whole metabolome
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Reconstruction and analysis of correlation networks based on GC–MS metabolomics data for young hypertensive men
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Metabolic effects of intestinal absorption and enterohepatic cycling of bile acids
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Bile acid sequestration normalizes plasma cholesterol and reduces atherosclerosis in hypercholesterolemic mice. No additional effect of physical activity
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Dynamic Metabolomics Reveals that Insulin Primes the Adipocyte for Glucose Metabolism
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Deoxycholyltaurine-induced vasodilation of rodent aorta is nitric oxide- and muscarinic M3 receptor-dependent
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The Myth of the “Vulnerable Plaque”
inferredcites →https://doi.org/10.1016/j.jacc.2016.06.044openalex-snapshot
Comprehensive Metabolomic Characterization of Coronary Artery Diseases
inferredcites →https://doi.org/10.1016/j.jmva.2009.04.008openalex-snapshot
Generating random correlation matrices based on vines and extended onion method
inferredcites →https://doi.org/10.1016/j.jprot.2017.03.014openalex-snapshot
Systems characterization of differential plasma metabolome perturbations following thrombotic and non-thrombotic myocardial infarction
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Plasma and Serum Metabolite Association Networks: Comparability within and between Studies Using NMR and MS Profiling
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Performance of Similarity Measures in 2D Fragment-Based Similarity Searching: Comparison of Structural Descriptors and Similarity Coefficients
inferredcites →https://doi.org/10.1038/nbt.1487openalex-snapshot
Network-based prediction of human tissue-specific metabolism
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An atlas of genetic influences on human blood metabolites
inferredcites →https://doi.org/10.1038/s41598-017-15231-wopenalex-snapshot
Chemical Similarity Enrichment Analysis (ChemRICH) as alternative to biochemical pathway mapping for metabolomic datasets
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The human circadian metabolome
inferredcites →https://doi.org/10.1093/bioinformatics/btq418openalex-snapshot
MetPA: a web-based metabolomics tool for pathway analysis and visualization
inferredcites →https://doi.org/10.1093/biomet/74.3.646openalex-snapshot
On Scale Mixtures of Normal Distributions
inferredcites →https://doi.org/10.1093/biomet/asm018openalex-snapshot
Model selection and estimation in the Gaussian graphical model
inferredcites →https://doi.org/10.1093/biostatistics/kxm045openalex-snapshot
Sparse inverse covariance estimation with the graphical lasso
inferredcites →https://doi.org/10.1093/nar/27.1.29openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/28.1.27openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/gkv1070openalex-snapshot
KEGG as a reference resource for gene and protein annotation
inferredcites →https://doi.org/10.1111/j.1752-8062.2011.00272.xopenalex-snapshot
Bile Acids Regulate Cardiovascular Function
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Somatic mutation in cancer and normal cells
inferredcites →https://doi.org/10.1136/heartjnl-2013-304163openalex-snapshot
Bile acids induce arrhythmias in human atrial myocardium—implications for altered serum bile acid composition in patients with atrial fibrillation
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Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
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The Enzymes, Regulation, and Genetics of Bile Acid Synthesis
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Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
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Epigenetics and Metabolism
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MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity
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Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data
inferredcites →https://doi.org/10.1186/1752-0509-7-107openalex-snapshot
A novel untargeted metabolomics correlation-based network analysis incorporating human metabolic reconstructions
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DNA methylation changes of whole blood cells in response to active smoking exposure in adults: a systematic review of DNA methylation studies
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Targeted profiling of circulating and hepatic bile acids in human, mouse, and rat using a UPLC-MRM-MS-validated method
inferredcites →https://doi.org/10.1194/jlr.r000042openalex-snapshot
Bile salts of vertebrates: structural variation and possible evolutionary significance
inferredcites →https://doi.org/10.1214/009053606000000281openalex-snapshot
High-dimensional graphs and variable selection with the Lasso
inferredcites →https://doi.org/10.1214/08-aoas215openalex-snapshot
Network exploration via the adaptive LASSO and SCAD penalties
inferredcites →https://doi.org/10.1214/12-ba729openalex-snapshot
Bayesian Graphical Lasso Models and Efficient Posterior Computation
inferredcites →https://doi.org/10.1371/journal.pone.0175591openalex-snapshot
Identification of a plasma metabolomic signature of thrombotic myocardial infarction that is distinct from non-thrombotic myocardial infarction and stable coronary artery disease
inferredcites →https://doi.org/10.3389/fgene.2014.00237openalex-snapshot
Development and in silico evaluation of large-scale metabolite identification methods using functional group detection for metabolomics
inferredcites →https://doi.org/10.4310/sii.2013.v6.n4.a12openalex-snapshot
Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors
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Harrison's Principles of Internal Medicine.

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inferred← citeshttps://doi.org/10.2172/1888206openalex-snapshot
Leveraging GCxGC-TOFMS to explore plant-soil-microbiome interactions in Maize [Slides]
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