Statistical exploration of variation in quantitative two-dimensional gel electrophoresis
Artikel i vetenskaplig tidskrift, 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

Författare

John Gustafsson

Göteborgs universitet

Chalmers, Institutionen för matematisk statistik

Robert Caesar

Göteborgs universitet

Chris Glasbey

Biomathematics & Statistics Scotland

Anders Blomberg

Göteborgs universitet

Mats Rudemo

Göteborgs universitet

Chalmers, Institutionen för matematisk statistik

Proteomics

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

Vol. 4 3791-3799

Ämneskategorier

Biologiska vetenskaper

DOI

10.1002/pmic.200300824

PubMed

15378705