Statistical exploration of variation in quantitative two-dimensional gel electrophoresis
Journal article, 2004

Two-dimensional gel electrophoresis is a major technique in global analysis at the protein level. This paper presents an examination of spot volume data from three gel sets with radioactively labeled yeast Saccharomyces cerevisiae proteins. A strong variance versus mean dependence in data was found to be stabilized by applying a shifted logarithmic transformation. However, transformed data showed a remaining substantial variance heterogeneity for different proteins. Furthermore, examination of studentized residuals revealed that transformed data were approximately normally distributed and that there were spatial correlations among the measurement errors in the gel.

Statistical analysis

Variation

Reproducibility

Transformation

Two-dimensional gel electrophoresis

Author

John Gustafsson

University of Gothenburg

Chalmers, Department of Mathematical Statistics

Robert Caesar

University of Gothenburg

Chris Glasbey

Biomathematics & Statistics Scotland

Anders Blomberg

University of Gothenburg

Mats Rudemo

University of Gothenburg

Chalmers, Department of Mathematical Statistics

Proteomics

1615-9853 (ISSN) 1615-9861 (eISSN)

Vol. 4 12 3791-3799

Subject Categories

Biological Sciences

DOI

10.1002/pmic.200300824

PubMed

15378705

More information

Created

10/6/2017