LHA-ID
7RU86AHFM0-8
Motivation
Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma.
Description
72 samples from normal cells and lymphoma cell lines including: 8 samples of naïve B cells, 13 samples of germinal center (GC) B cells, 9 samples of postGC B cells, 10 tissue samples of tonsils and 32 samples of 28 different lymphoma cell lines were hybridized to HGU133A Affymetrix GeneChips.
Publication Date
Contact
Dr. Maciej Rosolowski
Contact Institution
Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universität Leipzig Härtelstraße 16-18 04107 LEIPZIG
Contact eMail
Sample Size
72
Data Level
raw, preprocessed
Development Environment
Xemacs
Programing Language
R
Analysis Type
Evaluation Pipeline
Library Type
Sample Type
Tissue Type
Human Disease Ontology Concept