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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
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