Presentation
Current statistical models for drug response prediction and biomarker identification fall short in leveraging the shared and unique information from various cancer tissues and multi-omics profiles. We developed a mix-lasso model that introduces an additional sample group penalty term to capture tissue-specific effects of features on pan-cancer response prediction. The mix-lasso model takes into account both the similarity between drug responses (i.e., multi-task learning), and the heterogeneity between multi-omics data (multi-modal learning). When applied to large-scale pharmacogenomics dataset from Cancer Therapeutics Response Portal, mix-lasso enabled accurate drug response predictions and identification of tissue-specific predictive features in the presence of various degrees of missing data, drug-drug correlations, and high-dimensional and correlated genomic and molecular features that often hinder the use of statistical approaches in drug response modeling. Compared to the tree lasso model, the mix-lasso identified a smaller number of tissue-specific features, hence making the model more interpretable and stable for drug discovery applications.
Speaker
Zhi Zhao received his PhD in Biostatistics at the University of Oslo in 2020. Since then he has been a postdoc at Radiumhospitalet, Oslo University Hospital. His work focuses on the development of statistical methodologies for personalized cancer therapy. His research interests include sparse Bayesian models, penalized likelihood methods, mixed models, survival analysis, and modeling of complex and high-dimensional data.
Program
11:30 – Doors open and lunch is served
12:00 – "Tissue-specific identification of multi-omics features for pan-cancer drug response prediction" by Zhi Zhao (Postdoctor, Department of Cancer Genetics, Oslo University Hospital)
This event is open for all PhD candidates and postdocs. No registration needed.
About the seminar series
Once a month, dScience will invite you to join us for lunch, soft drinks and professional talks at the Science Library. In addition to these, we will serve lunch to PhD candidates in our lounge in Kristine Bonnevies hus every Thursday. Due to limited space (40 people), this will be first come, first served. See how to find us here (download).
Our lounge can also be booked by PhDs and Postdocs on a regular basis, whether it is for a meeting or just to hang out – we have fresh coffee all day long! Read more about the seminar series here.