MUMAL: multivariate analysis in shotgun proteomics using machine learning techniques.

Cerqueira, F.R., Ferreira, R.S., Oliveira, A.P. et al. (4 more authors) (2012) MUMAL: multivariate analysis in shotgun proteomics using machine learning techniques. BMC Genomics, 13 Sup. S4. ISSN 1471-2164

Abstract

Metadata

Authors/Creators:
  • Cerqueira, F.R.
  • Ferreira, R.S.
  • Oliveira, A.P.
  • Gomes, A.P.
  • Ramos, H.J.
  • Graber, A.
  • Baumgartner, C.
Copyright, Publisher and Additional Information: © 2012 Cerqueira et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Algorithms; Artificial Intelligence; Chromatography, Liquid; Computational Biology; Multivariate Analysis; Neural Networks (Computer); Proteins; Proteomics; Sensitivity and Specificity; Tandem Mass Spectrometry
Dates:
  • Published: 14 November 2012
  • Accepted: 24 October 2012
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Aug 2016 12:27
Last Modified: 09 Aug 2016 12:27
Published Version: http://dx.doi.org/10.1186/1471-2164-13-S5-S4
Status: Published
Publisher: BioMed Central
Refereed: Yes
Identification Number: https://doi.org/10.1186/1471-2164-13-S5-S4
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