<p><b>Copyright information:</b></p><p>Taken from "A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in H NMR metabonomic data"</p><p>http://www.biomedcentral.com/1471-2105/8/S2/S8</p><p>BMC Bioinformatics 2007;8(Suppl 2):S8-S8.</p><p>Published online 3 May 2007</p><p>PMCID:PMC1892077.</p><p></p>lation coefficients (R) shown are between predictions and observations (for predictive R-values see Results and discussion). The straight black lines show a 1:1-relationship and are drawn only to guide the eye
Abstract Metabolic analysis with high-resolution nuclear magnetic resonance (NMR) en-ables simultane...
Motivation: Comparative metabolic profiling by nuclear magnetic resonance (NMR) is showing increasin...
by losing HO, NH, etc. Figure 6-B: The comparison of the experimental spectrum (red) versus the spec...
<p><b>Copyright information:</b></p><p>Taken from "A novel Bayesian approach to quantify clinical va...
Abstract Background A key challenge in metabonomics is to uncover quantitative associations between ...
. In the analysis of magnetic resonance data, a great deal of prior information is available which i...
Nuclear magnetic resonance (NMR) spectroscopy is a principal analytical technique in metabolomics. E...
Motivation: Nuclear Magnetic Resonance (NMR) spectroscopy is widely used for high-throughput charact...
As a useful technique in clinical NMR spectroscopic studies, Chemical Shift Imaging (CSI) suffers fr...
Metabolic pools of biological matrices can be extensively analyzed by NMR. Measured data consist of ...
This thesis provides a complete methodology to lead a metabonomic study from the data acquisition to...
Nuclear magnetic resonance (NMR) spectroscopy is a principal analytical technique in metabolomics. E...
This article outlines the synergistic relationship between NMR and chemometrics. The latent variable...
. In the preceding paper, Bayesian analysis was applied to the parameter estimation problem, given q...
Risk stratification is critical for the early identification of high-risk individuals and disease pr...
Abstract Metabolic analysis with high-resolution nuclear magnetic resonance (NMR) en-ables simultane...
Motivation: Comparative metabolic profiling by nuclear magnetic resonance (NMR) is showing increasin...
by losing HO, NH, etc. Figure 6-B: The comparison of the experimental spectrum (red) versus the spec...
<p><b>Copyright information:</b></p><p>Taken from "A novel Bayesian approach to quantify clinical va...
Abstract Background A key challenge in metabonomics is to uncover quantitative associations between ...
. In the analysis of magnetic resonance data, a great deal of prior information is available which i...
Nuclear magnetic resonance (NMR) spectroscopy is a principal analytical technique in metabolomics. E...
Motivation: Nuclear Magnetic Resonance (NMR) spectroscopy is widely used for high-throughput charact...
As a useful technique in clinical NMR spectroscopic studies, Chemical Shift Imaging (CSI) suffers fr...
Metabolic pools of biological matrices can be extensively analyzed by NMR. Measured data consist of ...
This thesis provides a complete methodology to lead a metabonomic study from the data acquisition to...
Nuclear magnetic resonance (NMR) spectroscopy is a principal analytical technique in metabolomics. E...
This article outlines the synergistic relationship between NMR and chemometrics. The latent variable...
. In the preceding paper, Bayesian analysis was applied to the parameter estimation problem, given q...
Risk stratification is critical for the early identification of high-risk individuals and disease pr...
Abstract Metabolic analysis with high-resolution nuclear magnetic resonance (NMR) en-ables simultane...
Motivation: Comparative metabolic profiling by nuclear magnetic resonance (NMR) is showing increasin...
by losing HO, NH, etc. Figure 6-B: The comparison of the experimental spectrum (red) versus the spec...