22 citations · 62 across the 11 of their papers we have counts for
4 papers · 1 filter
Tutorial on survival modeling with applications to omics data
Zhi Zhao, John Zobolas, Manuela Zucknick +1
Motivation: Identification of genomic, molecular and clinical markers prognostic of patient survival is important for developing personalized disease prevention, diagnostic and tre…
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…
Composite local low-rank structure in learning drug sensitivity
The Tien Mai, Leiv Rønneberg, Zhi Zhao +2
The molecular characterization of tumor samples by multiple omics data sets of different types or modalities (e.g. gene expression, mutation, CpG methylation) has become an invalua…
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…