Correlations, as observed between the concentrations of metabolites in a biological sample, may be used to gain additional information about the physiological state of a given tissue. in this mini-review, we discuss the integration of these observed correlations into metabolomic networks and their relationships with the underlying biochemical pathways
INTRODUCTION: In systems biology, where a main goal is acquiring knowledge of biological systems, on...
<p>The main clusters identified in Fig. 1 are highlighted with a dotted red line. Nodes are codified...
Reverse engineering of high-throughput omics data to infer underlying biological networks is one of ...
Correlations, as observed between the concentrations of metabolites in a biological sample, may be u...
Correlations, as observed between the concentrations of metabolites in a biological sample, may be u...
A remarkable inherent feature of cellular metabolism is that the concentrations of a small but signi...
Motivation: Metabolite profiling aims at an unbiased identification and quantification of all the me...
Motivation: Metabolite profiling aims at an unbiased identification and quantification of all the me...
Background: Metabolic correlation networks are derived from the covariance of metabolites in replica...
Background: Metabolic correlation networks are derived from the covariance of metabolites in replica...
Both targeted and untargeted mass spectrometry-based metabolomics approaches are used to understand ...
Introduction: Metabolomics has become a crucial part of systems biology; however, data analysis is s...
In the last decade vast data sets are being generated in biological and medical studies. The challen...
<p><b>A:</b> Distributions of correlation coefficients for metabolite-mRNA, mRNA-mRNA and metabolite...
<p>Correlations of raw (x-axis) and normalized (y-axis) metabolite intensities to physiology data. M...
INTRODUCTION: In systems biology, where a main goal is acquiring knowledge of biological systems, on...
<p>The main clusters identified in Fig. 1 are highlighted with a dotted red line. Nodes are codified...
Reverse engineering of high-throughput omics data to infer underlying biological networks is one of ...
Correlations, as observed between the concentrations of metabolites in a biological sample, may be u...
Correlations, as observed between the concentrations of metabolites in a biological sample, may be u...
A remarkable inherent feature of cellular metabolism is that the concentrations of a small but signi...
Motivation: Metabolite profiling aims at an unbiased identification and quantification of all the me...
Motivation: Metabolite profiling aims at an unbiased identification and quantification of all the me...
Background: Metabolic correlation networks are derived from the covariance of metabolites in replica...
Background: Metabolic correlation networks are derived from the covariance of metabolites in replica...
Both targeted and untargeted mass spectrometry-based metabolomics approaches are used to understand ...
Introduction: Metabolomics has become a crucial part of systems biology; however, data analysis is s...
In the last decade vast data sets are being generated in biological and medical studies. The challen...
<p><b>A:</b> Distributions of correlation coefficients for metabolite-mRNA, mRNA-mRNA and metabolite...
<p>Correlations of raw (x-axis) and normalized (y-axis) metabolite intensities to physiology data. M...
INTRODUCTION: In systems biology, where a main goal is acquiring knowledge of biological systems, on...
<p>The main clusters identified in Fig. 1 are highlighted with a dotted red line. Nodes are codified...
Reverse engineering of high-throughput omics data to infer underlying biological networks is one of ...
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