(Q34285111)

1 August 2017

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title

NMR spectral quantitation by principal component analysis (English)

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principal component analysis

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main subject

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author name string

Stoyanova R

series ordinal

1

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Brown TR

series ordinal

2

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1 August 2017

publication date

1 June 2001

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1 August 2017

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volume

14

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issue

4

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1 August 2017

page(s)

271-277

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Assessment of quantitative artificial neural network analysis in a metabolically dynamic ex vivo 31P NMR pig liver study.

1 August 2017

cites work

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A new method for spectral decomposition using a bilinear Bayesian approach.

21 January 2018

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From magnetic resonance spectroscopy to classification of tumors. A review of pattern recognition methods.

21 January 2018

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An investigation of tumor 1H nuclear magnetic resonance spectra by the application of chemometric techniques

21 January 2018

1 reference

Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy.

21 January 2018

1 reference

Quantitation of resonances in biological 31P NMR spectra via principal component analysis: potential and limitations.

21 January 2018

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NMR spectral quantitation by principal-component analysis. II. Determination of frequency and phase shifts.

21 January 2018

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Automatic correction for phase shifts, frequency shifts, and lineshape distortions across a series of single resonance lines in large spectral data sets

21 January 2018

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NMR spectral analysis of kinetic data using natural lineshapes

21 January 2018

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3D multivoxel proton spectroscopy of human brain using a hybrid of 8th-order Hadamard encoding with 2D chemical shift imaging.

21 January 2018

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Model-free analysis of mixtures by NMR using blind source separation

21 January 2018

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Application of Principal-Component Analysis for NMR Spectral Quantitation

21 January 2018

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Spectral quantitation by principal component analysis using complex singular value decomposition

21 January 2018

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In vivo ATP synthesis rates in single human muscles during high intensity exercise

21 January 2018

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21 January 2018

Identifiers

DOI

10.1002/NBM.700

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1 August 2017

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