<p>a-e) Fits of simulated data with signal-to-noise ratio: a) 5 b) 10, c) 25, d) 75 and e) 244. f) Input simulated NMR spectra showing the true underlying peaks that make up the spectra. Signal-to-noise was calculated from the highest signal value divided by the root mean square value of the noise in a region devoid of signal. An alternate fit of the lowest signal to noise data (panel a) was found with a BIC value 4.67 higher than the model shown, with the only substantial difference being that the prediction of rightmost peak chemical shift is -3.58 ppm (not shown) rather than -3.12 ppm (shown).</p
<p>The linear correlation coefficient (CC) were calculated between BII percentages (BII%) inferred f...
PURPOSE Fitting of MRS data plays an important role in the quantification of metabolite concentra...
The application of sparse-sampling techniques to NMR data acquisition would benefit from reliable qu...
Low spectral resolution and extensive peak overlap are the common challenges that preclude quantitat...
<p>(Left panel) Proportion of NMR constraints satisfied (within a certain tolerance), as a function ...
Low spectral resolution and extensive peak overlap are the common challenges that preclude quantitat...
Baseline correction of NMR-based metabolomic spectra is a key step in data processing to elucidate b...
The accuracy and precision of the quantification of metabolite concentrations in in vivo1H NMR spect...
<p>Model versus experimental absolute Cα chemical shifts for (A) 100 WT ensembles and (B) 100 ΔK280 ...
We discuss Nuclear Magnetic Resonance (NMR) signal detection in unstable magnetic field B and low S...
Assurance of high measuring sensitivity is one of the most challenging issues of any nuclear magneti...
BackgroundWe propose a statistically principled baseline correction method, derived from a parametri...
An analysis of resolution in nuclear magnetic resonance (NMR) spectra in terms of separation, linewi...
Quantitative NMR is intrinsically dependent on precise, accurate, and robust peak area calculation. ...
<p>For each amino acid, the median value of over the 20 possible partners is given in units of , al...
<p>The linear correlation coefficient (CC) were calculated between BII percentages (BII%) inferred f...
PURPOSE Fitting of MRS data plays an important role in the quantification of metabolite concentra...
The application of sparse-sampling techniques to NMR data acquisition would benefit from reliable qu...
Low spectral resolution and extensive peak overlap are the common challenges that preclude quantitat...
<p>(Left panel) Proportion of NMR constraints satisfied (within a certain tolerance), as a function ...
Low spectral resolution and extensive peak overlap are the common challenges that preclude quantitat...
Baseline correction of NMR-based metabolomic spectra is a key step in data processing to elucidate b...
The accuracy and precision of the quantification of metabolite concentrations in in vivo1H NMR spect...
<p>Model versus experimental absolute Cα chemical shifts for (A) 100 WT ensembles and (B) 100 ΔK280 ...
We discuss Nuclear Magnetic Resonance (NMR) signal detection in unstable magnetic field B and low S...
Assurance of high measuring sensitivity is one of the most challenging issues of any nuclear magneti...
BackgroundWe propose a statistically principled baseline correction method, derived from a parametri...
An analysis of resolution in nuclear magnetic resonance (NMR) spectra in terms of separation, linewi...
Quantitative NMR is intrinsically dependent on precise, accurate, and robust peak area calculation. ...
<p>For each amino acid, the median value of over the 20 possible partners is given in units of , al...
<p>The linear correlation coefficient (CC) were calculated between BII percentages (BII%) inferred f...
PURPOSE Fitting of MRS data plays an important role in the quantification of metabolite concentra...
The application of sparse-sampling techniques to NMR data acquisition would benefit from reliable qu...