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

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09-17-08 08:51 AM
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Evaluation of the variables characterized by significant discriminating power in the application of SIMCA classification method to proteomic studies.
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Evaluation of the variables characterized by significant discriminating power in the application of SIMCA classification method to proteomic studies.

J Proteome Res. 2008 Jul;7(7):2789-96

Authors: Marengo E, Robotti E, Bobba M, Righetti PG

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.

PMID: 18543959 [PubMed - indexed for MEDLINE]