CMA – a comprehensive Bioconductor package for supervised classification with high dimensional data

Por Slawski, M, Daumer, M, Boulesteix, A-L
Publicado em 2008

Evaluating Microarray-based Classifiers: An Overview

Por Boulesteix, A.-L., Strobl, C., Augustin, T., Daumer, M.
Publicado em 2008

Prognosis of the individual course of disease - steps in developing a decision support tool for Multiple Sclerosis

Por Daumer, M, Neuhaus, A, Lederer, C, Scholz, M, Wolinsky, JS, Heiderhoff, M
Publicado em 2007

Age and disability accumulation in multiple sclerosis

Por Scalfari, A., Neuhaus, A., Daumer, M., Ebers, G.C., Muraro, P.A.
Publicado em 2011

A14 Ultra-wide and ultra-deep sequencing increases the detection rate of dual HIV-1 infections and recombinants

Por Van Laethem, K, Thielen, A, Schrooten, Y, Ferreira, F, Vinken, L, Daümer, M
Publicado no Virus Evol (2018)

Ecological Validity of Walking Capacity Tests in Multiple Sclerosis

Por Stellmann, J. P., Neuhaus, A., Götze, N., Briken, S., Lederer, C., Schimpl, M., Heesen, C., Daumer, M.
Publicado no PLoS One (2015)

A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis

Por Galea, I, Lederer, C, Neuhaus, A, Muraro, P A, Scalfari, A, Koch-Henriksen, N, Heesen, C, Koepke, S, Stellmann, P, Albrecht, H, Winkelmann, A, Weber, F, Bahn, E, Hauser, M, Edan, G, Ebers, G, Daumer, M
Publicado no Eur J Neurol (2013)