is chosen. Funding : This project was supported by the German Federal Ministry of Education and Science in the framework for medical genome research (ngfn, IG-Prostate Cancer, 01GS0890 further by the Clinical Research Group 179 through the DFG. By train : from Bonn Hauptbahnhof you can take the regional train (Deutsche Bahn) to Bonn UN Campus station. 2 package features To this end, the prior knowledge used by the algorithms implemented in pathClass is represented as a network structure or graph,.e. Cross the road (Heussallee) and turn left into Karl-Carstens-Straße. However, it is important to note, that these results are specific for this particular dataset. The goal is to use these gene signatures for stratification of patients according to clinical relevant endpoints.
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The package is able to run the cross-validation in parallel and thus exploit the architecture of modern multicore computers or computing clusters. 35 Ruschhaupt., et. Common sources of such knowledge are databases that contain pathway information or proteinprotein interactions for a review see Porzelius. The support vector machine (SVM, Boser. A training algorithm for optimal margin classifiers, colt '92: Proceedings of the fifth annual workshop on Computational learning theory, 1992 New York, dr schwarz stuttgart zahnarzt laakirchen NY, USA ACM (pg.