Speaker: Manuela Zucknick, Ass.prof. Dep. of Biostatistics UiO
Title: Statistical learning for drug screening in personalized cancer therapy
Large-scale cancer pharmacogenomic screening experiments profile hundreds of cancer cell lines versus hundreds of clinically approved or experimental compounds to study drug sensitivity and/or synergistic effects of drug combinations. The aim of these in vitro studies is to use the genomic profiles of the cell lines together with information about the drugs to predict the response of individual cell lines to a particular drug or combination of drugs, and ultimately to learn about in vivo treatment response for patients.
This is a multi-task multi-view prediction problem where there is only little predictive value in each of the individual data sets. Therefore, it is important to optimize prediction performance by combining the different data sources efficiently, by borrowing information across experiments, and by using external knowledge wherever available.
In this talk I will give an overview of possible methodological approaches to this problem and summarize some of the recent key contributions from the (Bayesian and non-Bayesian) statistical and machine learning literature.
The lunch starts at 12:00, and the talk will start around 12:20.
NB: Wednesday BigInsight Lunches are open to staff and students from any of the BigInsight partners, including UiO, but not to others.
Location: Ullevål Stadion, Sognsveien 77B