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Predicting Drug Response Using Multiomics Data

Predicting Drug Response Using Multiomics Data content piece image

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