Ontology highlight
ABSTRACT:
SUBMITTER: Blenk S
PROVIDER: S-EPMC2675856 | biostudies-literature | 2007 Dec
REPOSITORIES: biostudies-literature
Blenk S S Engelmann J J Weniger M M Schultz J J Dittrich M M Rosenwald A A Müller-Hermelink H K HK Müller T T Dandekar T T
Cancer informatics 20071212
Aiming to find key genes and events, we analyze a large data set on diffuse large B-cell lymphoma (DLBCL) gene-expression (248 patients, 12196 spots). Applying the loess normalization method on these raw data yields improved survival predictions, in particular for the clinical important group of patients with medium survival time. Furthermore, we identify a simplified prognosis predictor, which stratifies different risk groups similarly well as complex signatures. We identify specific, activated ...[more]