title: Multivariate data analysis of proteome data.
abstract: We present the background for multivariate data analysis on proteomics data with a hands-on section on how to transfer data between different software packages. The techniques can also be used for other biological and biochemical problems in which structures have to be found in a large amount of data. Digitalization of the 2D gels, analysis using image processing software, transfer of data, multivariate data analysis, interpretation of the results, and finally we return to biology.
authors.affiliation: BioCentrum-DTU, Biochemistry and Nutrition Group, Technical University of Denmark, Lyngby.
authors.forename: Kåre
authors.initials: K
authors.lastname: Engkilde
authors.forename: Susanne
authors.initials: S
authors.lastname: Jacobsen
authors.forename: Ib
authors.initials: I
authors.lastname: Søndergaard
mesh_terms: D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D015999:Multivariate Analysis; D010940:Plant Proteins / Q000378:metabolism*; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics / Q000295:instrumentation / Q000379:methods*; D012044:Regression Analysis; D012984:Software
chemical_list: D010940:Plant Proteins; D020543:Proteome