22 citations · 62 across the 11 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
stat.AP2019
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…
stat.AP2019★ 2 cited
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★ 13 cited
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…