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 |
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Pages (from-to) | 2789-2796 |
Number of pages | 8 |
Journal | Journal of Proteome Research |
Volume | 7 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 2008 |
Keywords
- 2D-PAGE maps
- Box-cox transformation
- Discriminating power
- Normal probability plot
- Soft-independent model of class analogy