• DocumentCode
    636489
  • Title

    Fast and robust extraction of reliable protein signal profiles from mass spectrometry data by introducing the concept of Single Channel ICA with statistical offset correction

  • Author

    Neehar, Mavuduru ; Acharyya, Amit

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Hyderabad, Hyderabad, India
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    2692
  • Lastpage
    2695
  • Abstract
    In this paper, we introduce the concept of Single Channel Independent Component Analysis (SCICA) for fast extraction of protein profiles from the mass spectra data. Subsequently we propose one offset-correction scheme on the basis of the statistical data analysis of the SCICA-based estimated protein profiles to ensure robustness of the proposed algorithm. The proposed method is also validated rigorously against the simulated data. Such concept, to the best of our knowledge is proposed for the first time in this context of protein profiling and we envisage that the proposed concept will find potential applications in bio-marker discovery especially for cancers.
  • Keywords
    cancer; data analysis; feature extraction; independent component analysis; mass spectroscopic chemical analysis; medical signal processing; proteins; proteomics; SCICA-based estimated protein profiles; Single Channel Independent Component Analysis; biomarker discovery; cancer; mass spectra data; mass spectrometry data; offset-correction scheme; protein signal profiling; robust extraction; statistical data analysis; statistical offset correction; Data analysis; Delays; Frequency-domain analysis; Mathematical model; Proteins; Robustness; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610095
  • Filename
    6610095