| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1181324 | Chemometrics and Intelligent Laboratory Systems | 2010 | 6 Pages |
Abstract
Analysis of proteomic data, presented in form of 2D gel electropherograms, is still a real challenge and requires further improvements. Three main problems in data analysis are associated with (1) ‘software-induced variance’ (due to the different methods of data pre-processing or their different input parameters), (2) univariate significance analysis, and (3) requirements of spots detection and quantification. In our study, the advantages of multivariate significance analysis and a pixel-based approach are demonstrated upon the example of the real data set.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
M. Daszykowski, A. Bierczynska-Krzysik, J. Silberring, B. Walczak,