3 papers
stat.AP2020
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
Katrin Madjar, Manuela Zucknick, Katja Ickstadt +1
Important objectives in cancer research are the prediction of a patient's risk based on molecular measurements such as gene expression data and the identification of new prognostic…
stat.AP2019
A Bayesian approach to study synergistic interaction effects in in-vitro drug combination experiments
Andrea Cremaschi, Arnoldo Frigessi, Kjetil Taskén +1
In cancer translational research, increasing effort is devoted to the study of the combined effect of two drugs when they are administered simultaneously. In this paper, we introdu…
stat.ME2019
Structured penalized regression for drug sensitivity prediction
Zhi Zhao, Manuela Zucknick
Large-scale {\it in vitro} drug sensitivity screens are an important tool in personalized oncology to predict the effectiveness of potential cancer drugs. The prediction of the sen…