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

doi:10.1021/pr700719a

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

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo su rivista › Articolo in rivista › peer 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.

Lingua originale	Inglese
pagine (da-a)	2789-2796
Numero di pagine	8
Rivista	Journal of Proteome Research
Volume	7
Numero di pubblicazione	7
DOI	https://doi.org/10.1021/pr700719a
Stato di pubblicazione	Pubblicato - lug 2008

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10.1021/pr700719a

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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.",

keywords = "2D-PAGE maps, Box-cox transformation, Discriminating power, Normal probability plot, Soft-independent model of class analogy",

author = "Emilio Marengo and Elisa Robotti and Marco Bobba and Righetti, {Pier Giorgio}",

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KW - Box-cox transformation

KW - Discriminating power

KW - Normal probability plot

KW - Soft-independent model of class analogy

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

Abstract

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