title: Statistical methods for proteomics.
abstract: During the last decade, analytical methods for the detection and quantification of proteins and peptides in biological samples have been considerably improved. It is therefore now possible to compare simultaneously the expression levels of hundreds or thousands of proteins in different types of tissue, for example, normal and cancerous, or in different cell lines. In this chapter, we illustrate statistical designs for such proteomics experiments as well as methods for the analysis of resulting data. In particular, we focus on the preprocessing and analysis of protein expression levels recorded by the use of either two-dimensional gel electrophoresis or mass spectrometry.
authors.affiliation: Department of Medical Statistics, Georg-August-University Göttingen, Göttingen, Germany.
authors.forename: Klaus
authors.initials: K
authors.lastname: Jung
mesh_terms: D002460:Cell Line; D003627:Data Interpretation, Statistical; D015536:Down-Regulation; D015180:Electrophoresis, Gel, Two-Dimensional; D020869:Gene Expression Profiling; D006801:Humans; D013058:Mass Spectrometry; D015999:Multivariate Analysis; D040901:Proteomics / Q000379:methods*; D011786:Quality Control; D015854:Up-Regulation