• DocumentCode
    2156167
  • Title

    Analysis and Classification of Proteomics Data, a Case Study

  • Author

    Guzzi, P.H. ; Cannataro, M. ; Gaspari, M. ; Mazza, T. ; Quaresima, B. ; Veltri, P. ; Costanzo, F.S.

  • Author_Institution
    Universita Magna Graecia di Catanzaro
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    913
  • Lastpage
    918
  • Abstract
    This paper presents a methodology for analyzing and classifying proteins identified in biological samples. In particular, such methodology consists in normalizing and classifying quantity and quality of proteins identified by using tandem mass spectrometry. A case study is considered and a classification experiment for protein discriminant is also reported
  • Keywords
    biology computing; mass spectroscopic chemical analysis; molecular biophysics; molecular configurations; proteins; biological samples; protein analysis; protein classification; protein discriminant; proteomics; tandem mass spectrometry; Biological information theory; Computer aided software engineering; Data analysis; Data mining; Mass spectroscopy; Peptides; Proteins; Proteomics; Protocols; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2517-1
  • Type

    conf

  • DOI
    10.1109/CBMS.2006.43
  • Filename
    1647686