A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data. (Q31112222)

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30 December 2019

title

A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data (English)

1 reference

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30 December 2019

1

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30 December 2019

Ville-Petteri Mäkinen

2

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30 December 2019

Mika Ala-Korpela

9

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30 December 2019

author name string

Pasi Soininen

3

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30 December 2019

Petri Ingman

4

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30 December 2019

Sanna M Mäkelä

5

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30 December 2019

Markku J Savolainen

6

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30 December 2019

Minna L Hannuksela

7

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30 December 2019

Kimmo Kaski

8

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30 December 2019

publication date

3 May 2007

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30 December 2019

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30 December 2019

volume

8 Suppl 2

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30 December 2019

page(s)

S8

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Creative Commons Attribution 2.0 Generic

30 December 2019

copyright license

start time

1 May 2007

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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exact match

https://scigraph.springernature.com/pub.10.1186/1471-2105-8-s2-s8

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cites work

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Sample classification based on Bayesian spectral decomposition of metabonomic NMR data sets

21 June 2018

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Quantification of plasma lipids and apolipoproteins by use of proton NMR spectroscopy, multivariate and neural network analysis.

21 June 2018

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A computational strategy for the deconvolution of NMR spectra with multiplet structures and constraints: analysis of overlapping 13C-2H multiplets of 13C enriched metabolites from cell suspensions incubated in deuterated media.

21 June 2018

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Quantification of biomedical NMR data using artificial neural network analysis: lipoprotein lipid profiles from 1H NMR data of human plasma

21 June 2018

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Relationships between the proton nuclear magnetic resonance properties of plasma lipoproteins and cancer

21 June 2018

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Reduction in the concentration and activity of plasma cholesteryl ester transfer protein by alcohol

21 June 2018

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Proton NMR analysis of plasma is a weak predictor of coronary artery disease.

21 June 2018

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The inherent accuracy of 1H NMR spectroscopy to quantify plasma lipoproteins is subclass dependent.

25 November 2018

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Nuclear magnetic resonance lipoprotein abnormalities in prediabetic subjects in the Insulin Resistance Atherosclerosis Study

25 November 2018

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Quantitative magnetic resonance spectroscopy: semi-parametric modeling and determination of uncertainties.

25 November 2018

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Understanding 'Global' Systems Biology: Metabonomics and the Continuum of Metabolism

25 November 2018

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

25 November 2018

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Diagnosing diabetic nephropathy by 1H NMR metabonomics of serum

25 November 2018

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12 December 2020

Effects of orientational order and particle size on the NMR line positions of lipoproteins

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12 December 2020

Metabolite profiling: from diagnostics to systems biology

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12 December 2020

1H NMR-based absolute quantitation of human lipoproteins and their lipid contents directly from plasma

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12 December 2020

10.1186/1471-2105-8-S2-S8

Identifiers

DOI

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:17493257%20AND%20SRC:MED&resulttype=core&format=json

journals/bmcbi/VehtariMSIMSHKA07

30 December 2019

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

0 references

1 reference

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30 December 2019

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