Predicting Drug Response Using Multiomics Data
Preclinical models are crucial to studying the association between molecular features of tumor cells and response to chemical perturbations. However, only a few predictors of drug responses have been successfully translated to clinical settings.
The ever-increasing sophistication of the analytical pipelines used to develop predictors of drug response also presents some unique challenges in cancer research requiring a high level of transparency to maximize the reproducibility of the findings.
Fortunately, new software platforms can be used to improve transparency and reproducibility in cancer research and multi-omics biomarker discovery.
Attend this webinar to:
- Explore some of the most exciting research advancing our understanding of multi-omics data
- Discover incredible studies and recent developments in this field
- Interact with our expert speaker through an exclusive Q&A session following the webinar