Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value. - Anne-Laure Boulesteix; Christine Porzelius; Martin Daumer (Bioinform., 2008)

Parallelized prediction error estimation for evaluation of high-dimensional models. - Christine Porzelius; Harald Binder; Martin Schumacher (Bioinform., 2009)

Easier parallel computing in R with snowfall and sfCluster. - Jochen Knaus; Christine Porzelius; Harald Binder; Guido Schwarzer (R J., 2009)

Sparse regression techniques in low-dimensional survival data settings. - Christine Porzelius; Martin Schumacher; Harald Binder (Stat. Comput., 2010)

Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer. - Stephan Gade; Christine Porzelius; Maria Fälth; Jan C. Brase; Daniela Wuttig; Ruprecht Kuner; Harald Binder; Holger Sültmann; Tim Beißbarth (BMC Bioinform., 2011)

Hands-on tutorial for parallel computing with R. - Manuel J. A. Eugster; Jochen Knaus; Christine Porzelius; Markus Schmidberger; Esmeralda Vicedo (Comput. Stat., 2011)

The benefit of data-based model complexity selection via prediction error curves in time-to-event data. - Christine Porzelius; Martin Schumacher; Harald Binder (Comput. Stat., 2011)

Can matching improve the performance of boosting for identifying important genes in observational studies? - Veronika Reiser; Christine Porzelius; Susanne Stampf; Martin Schumacher; Harald Binder (Comput. Stat., 2013)