Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS) (Q24302019)

https://scigraph.springernature.com/pub.10.1186/1471-2105-11-123

GOA release 2020-03-11

Shawn M Gomez

3

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author name string

Jennifer M Staab

series ordinal

1

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Thomas M O'Connell

series ordinal

2

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language of work or name

English

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publication date

2010

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published in

BMC Bioinformatics

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volume

11

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issue

1

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page(s)

123

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exact match

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cites work

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Metabolomic profiling of a modified alcohol liquid diet model for liver injury in the mouse uncovers new markers of disease

7 April 2017

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27 September 2017

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27 September 2017

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27 September 2017

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Pattern recognition classification of the site of nephrotoxicity based on metabolic data derived from proton nuclear magnetic resonance spectra of urine.

27 September 2017

1 reference

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Application of pattern recognition methods to the analysis and classification of toxicological data derived from proton nuclear magnetic resonance spectroscopy of urine

27 September 2017

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icoshift: A versatile tool for the rapid alignment of 1D NMR spectra

27 September 2017

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Recursive segment-wise peak alignment of biological (1)h NMR spectra for improved metabolic biomarker recovery.

30 May 2018

1 reference

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Peak alignment of urine NMR spectra using fuzzy warping.

29 November 2018

1 reference

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Application of fast Fourier transform cross-correlation for the alignment of large chromatographic and spectral datasets.

29 November 2018

1 reference

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29 November 2018

Identifiers

DOI

10.1186/1471-2105-11-123

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DBLP publication ID

journals/bmcbi/StaabOG10

1 reference

DBLP Dataset 2021-01-02