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Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children: application to urine samples from autistic children

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Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children : application to urine samples from autistic children. / Goodall, David; Soria, Ana; Wilson, Julie C.; Wright, Barry John Debenham.

In: Electrophoresis, Vol. 28, No. 6, 01.03.2007, p. 950-964.

Research output: Contribution to journalArticlepeer-review

Harvard

Goodall, D, Soria, A, Wilson, JC & Wright, BJD 2007, 'Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children: application to urine samples from autistic children', Electrophoresis, vol. 28, no. 6, pp. 950-964. https://doi.org/10.1002/elps.200600381

APA

Goodall, D., Soria, A., Wilson, J. C., & Wright, B. J. D. (2007). Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children: application to urine samples from autistic children. Electrophoresis, 28(6), 950-964. https://doi.org/10.1002/elps.200600381

Vancouver

Goodall D, Soria A, Wilson JC, Wright BJD. Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children: application to urine samples from autistic children. Electrophoresis. 2007 Mar 1;28(6):950-964. https://doi.org/10.1002/elps.200600381

Author

Goodall, David ; Soria, Ana ; Wilson, Julie C. ; Wright, Barry John Debenham. / Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children : application to urine samples from autistic children. In: Electrophoresis. 2007 ; Vol. 28, No. 6. pp. 950-964.

Bibtex - Download

@article{187846b8b13244aaa3134722e9eb05a1,
title = "Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children: application to urine samples from autistic children",
abstract = "Metabolic fingerprinting of biofluids such as urine can be used to detect and analyse differences between individuals. However, before pattern recognition methods can be utilised for classification, preprocessing techniques for the denoising, baseline removal, normalisation and alignment of electropherograms must be applied. Here a MEKC method using diode array detection has been used for high-resolution separation of both charged and neutral metabolites. Novel and generic algorithms have been developed for use prior to multivariate data analysis. Alignment is achieved by combining the use of reference peaks with a method that uses information from multiple wavelengths to align electropherograms to a reference signal. This metabolic fingerprinting approach by MEKC has been applied for the first time to urine samples from autistic and control children in a nontargeted and unbiased search for markers for autism. Although no biomarkers for autism could be determined using MEKC data here, the general approach presented could also be applied to the processing of other data collected by CE with UV-Vis detection.",
keywords = "autism, data processing, MEKC, metabolic fingerprinting, urinary metabolites, ELECTROKINETIC CAPILLARY CHROMATOGRAPHY, PERFORMANCE LIQUID-CHROMATOGRAPHY, PATTERN-RECOGNITION ANALYSIS, TANDEM MASS-SPECTROMETRY, WAVELET TRANSFORM, SCREENING METHOD, PYRIMIDINE METABOLISM, CANCER PATIENTS, INBORN-ERRORS, ELECTROPHORESIS",
author = "David Goodall and Ana Soria and Wilson, {Julie C.} and Wright, {Barry John Debenham}",
year = "2007",
month = mar,
day = "1",
doi = "10.1002/elps.200600381",
language = "English",
volume = "28",
pages = "950--964",
journal = "Electrophoresis",
issn = "0173-0835",
publisher = "Wiley-VCH Verlag",
number = "6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic children

T2 - application to urine samples from autistic children

AU - Goodall, David

AU - Soria, Ana

AU - Wilson, Julie C.

AU - Wright, Barry John Debenham

PY - 2007/3/1

Y1 - 2007/3/1

N2 - Metabolic fingerprinting of biofluids such as urine can be used to detect and analyse differences between individuals. However, before pattern recognition methods can be utilised for classification, preprocessing techniques for the denoising, baseline removal, normalisation and alignment of electropherograms must be applied. Here a MEKC method using diode array detection has been used for high-resolution separation of both charged and neutral metabolites. Novel and generic algorithms have been developed for use prior to multivariate data analysis. Alignment is achieved by combining the use of reference peaks with a method that uses information from multiple wavelengths to align electropherograms to a reference signal. This metabolic fingerprinting approach by MEKC has been applied for the first time to urine samples from autistic and control children in a nontargeted and unbiased search for markers for autism. Although no biomarkers for autism could be determined using MEKC data here, the general approach presented could also be applied to the processing of other data collected by CE with UV-Vis detection.

AB - Metabolic fingerprinting of biofluids such as urine can be used to detect and analyse differences between individuals. However, before pattern recognition methods can be utilised for classification, preprocessing techniques for the denoising, baseline removal, normalisation and alignment of electropherograms must be applied. Here a MEKC method using diode array detection has been used for high-resolution separation of both charged and neutral metabolites. Novel and generic algorithms have been developed for use prior to multivariate data analysis. Alignment is achieved by combining the use of reference peaks with a method that uses information from multiple wavelengths to align electropherograms to a reference signal. This metabolic fingerprinting approach by MEKC has been applied for the first time to urine samples from autistic and control children in a nontargeted and unbiased search for markers for autism. Although no biomarkers for autism could be determined using MEKC data here, the general approach presented could also be applied to the processing of other data collected by CE with UV-Vis detection.

KW - autism

KW - data processing

KW - MEKC

KW - metabolic fingerprinting

KW - urinary metabolites

KW - ELECTROKINETIC CAPILLARY CHROMATOGRAPHY

KW - PERFORMANCE LIQUID-CHROMATOGRAPHY

KW - PATTERN-RECOGNITION ANALYSIS

KW - TANDEM MASS-SPECTROMETRY

KW - WAVELET TRANSFORM

KW - SCREENING METHOD

KW - PYRIMIDINE METABOLISM

KW - CANCER PATIENTS

KW - INBORN-ERRORS

KW - ELECTROPHORESIS

U2 - 10.1002/elps.200600381

DO - 10.1002/elps.200600381

M3 - Article

C2 - 17370305

VL - 28

SP - 950

EP - 964

JO - Electrophoresis

JF - Electrophoresis

SN - 0173-0835

IS - 6

ER -