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

Emilio MARENGO; Elisa ROBOTTI; M Bobba; Righetti PG

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
, M Bobba
, Righetti PG

Department of Science and Technological Innovation

Research output: Contribution to journal › Article

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 language	English
Pages (from-to)	2789-2796
Number of pages	8
Journal	Journal of Proteome Research
Volume	7
Issue number	7
DOIs	https://doi.org/10.1021/pr700719a
Publication status	Published - 2008

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10.1021/pr700719a

http://hdl.handle.net/11579/32211

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

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.",

author = "Emilio MARENGO and Elisa ROBOTTI and M Bobba and Righetti PG",

year = "2008",

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AU - PG, Righetti

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AB - 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.

UR - https://iris.uniupo.it/handle/11579/32211

U2 - 10.1021/pr700719a

DO - 10.1021/pr700719a

M3 - Article

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VL - 7

SP - 2789

EP - 2796

JO - Journal of Proteome Research

JF - Journal of Proteome Research

IS - 7

ER -

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

Abstract

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