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GMM-Based Molecular Serum Profiling Framework

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Book cover Information and Software Technologies (ICIST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 538))

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Abstract

The paper presents GMM-based molecular serum profiling framework dedicated to complete analyzing of Maldi-ToF mass spectrometry data. The presented Matlab-based framework is a comprehensive, self-adapting solution dedicated to different kind of spectra datasets. The process of mass spectrometry data analysis consists of several procedures, like data preparation, data pre-processing including baseline correction, detection of outliers and noise removal. The mean spectrum is calculated, modeled with GMM and decomposed using the Expectation-Maximization algorithm. In this process localization of the mean spectrum peaks is done with the dedicated adaptive procedure. Results of the mean spectrum decomposition in the subsequent step are applied into each single spectrum in the dataset in the form of Gaussian mask. The result is a data set ready for further statistical analysis.

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Author information

Authors and Affiliations

  1. Lublin University of Technology, Nadbystrzycka 38D, 20-618, Lublin, Poland

    Małgorzata Plechawska-Wójcik

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  1. Małgorzata Plechawska-Wójcik
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Correspondence to Małgorzata Plechawska-Wójcik .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damasevicius

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Plechawska-Wójcik, M. (2015). GMM-Based Molecular Serum Profiling Framework. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2015. Communications in Computer and Information Science, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-319-24770-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-24770-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24769-4

  • Online ISBN: 978-3-319-24770-0

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