Evaluation of the variables characterized by significant discriminating power in the application of SIMCA classification method to proteomic studies |
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| Authors: | Marengo Emilio Robotti Elisa Bobba Marco Righetti Pier Giorgio |
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| Institution: | Department of Environmental and Life Sciences, University of Eastern Piedmont, Via Bellini 25/G, 15100 Alessandria, Italy. marengoe@tin.it |
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| 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. |
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