Evaluation of the variables characterized by significant discriminating power in the application of SIMCA classification method to proteomic studies

Emilio Marengo, Elisa Robotti, Marco Bobba, Pier Giorgio Righetti

Research output: Contribution to journalArticlepeer-review

Abstract

SIMCA classification can be applied to 2D-PAGE maps to identify changes occurring in cellular protein contents as a consequence of illnesses or therapies. These data sets are complex to treat due to the large number of proteins detected. A method for identifying relevant proteins from SIMCA discriminating powers is proposed, based on the Box-Cox transformation coupled to probability papers. The method successfully allowed the identification of the relevant spots from 2D maps.

Original languageEnglish
Pages (from-to)2789-2796
Number of pages8
JournalJournal of Proteome Research
Volume7
Issue number7
DOIs
Publication statusPublished - Jul 2008

Keywords

  • 2D-PAGE maps
  • Box-cox transformation
  • Discriminating power
  • Normal probability plot
  • Soft-independent model of class analogy

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