Contributions to statistical techniques for the analysis of gene and protein expression data [Elektronische Ressource] / by Klaus Jung

Contributions to Statistical Techniquesfor the Analysis of Gene and ProteinExpression DataDoctoral ThesisSubmitted tothe Department of Statisticsof the University of Dortmundin Fulfllment ofthe Requirements for the Degree of‘Doktor der Naturwissenschaften’byKlaus Jungfrom WiesbadenDortmund, June 2006Supervisor: Prof. Dr. Wolfgang Urfer2nd Referee: Prof. Dr. Katja IckstadtDate of the oral examination: 3 August 2006AcknowledgementsI would like to thank very much my supervisor Prof. Dr. Wolfgang Urfer for hisguidance throughout my research.My thanks go also to Dr. Karsten Quast and Dr. Guntram Deichsel (BoehringerIngelheim Pharma GmbH & Co. KG, Biberach, Germany) who provided the mi-croarray gene expression data for this research.Furthermore, I would like to thank Barbara Sitek, Dr. Kai Stuhler˜ and Prof. Dr.Helmut E. Meyer (Medical Proteome-Center, Ruhr-University of Bochum, Ger-many) for their close collaboration and for providing their protein expression data.¶Special thanks go to Prof. Dr. Ali Gannoun (Centre d’Etude et de Rechercheen Informatique du CNAM, Paris, France),as well as to Dr. Nick Fieller and Clare Foyle (Department of Probability andStatistics, University of She–eld, United Kingdom) for interesting discussions andtheir help.I would also like to thank Dr. Jens Decker and Frank-Michael Schleif (BrukerDaltonik GmbH, Bremen, Germany) for their collaboration and for providing theirprotein expression data.