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Statistical exploration of variation in quantitative two-dimensional gel electrophoresis

John Gustafsson (Institutionen för matematisk statistik) ; Robert Caesar ; C. A. Glasbey ; Anders Blomberg ; Mats Rudemo (Institutionen för matematisk statistik)
Proteomics (1615-9853). Vol. 4 (2004), 12, p. 3791-3799.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: Reproducibility, Statistical analysis, Transformation, Two-dimensional gel electrophoresis, Variation



Denna post skapades 2007-04-02. Senast ändrad 2010-01-26.
CPL Pubid: 40241

 

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Institutioner (Chalmers)

Institutionen för matematisk statistik (2002-2004)
Institutionen för cell- och molekylärbiologi (1994-2011)

Ämnesområden

Biologiska vetenskaper

Chalmers infrastruktur