Join us Wednesday, November 29th for our next free webinar.
Learn from experts how machine learning tools present a more expansive view of your data and facilitate prognostic discovery.
Special guests Dr. Shahram Kordasti of King’s College London and Dr. Richard Ellis of the NIHR Biomedical Research Centre at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London show you how they leveraged Cytobank to identify predictors of therapy response.
In this webinar, they will present data and methods that led to their key discoveries in the clinic, as detailed in Blood Journal.
Go in-depth to review how to set up an entire experiment workflow (from bench to bytes) and see how machine learning algorithms in the Cytobank cloud can lead to quality results, faster.
Key Takeaways:
- See how viSNE (tSNE) in Cytobank helped investigators identify a reliable predictor of therapy response
- Understand how cloud-based computation enables better compute and parallelization, and allows for more events
- Learn from experts how to optimize your entire experiment workflow, “from bench to bytes,” and how quality data collection makes analysis easier.
About the Presenters:
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Hannah Polikowsky Cytobank’s Program Manager for Scientific Services |
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Dr. Shahram Kordasti, Senior Lecturer at King’s College London. |
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Dr. Richard Ellis, Flow Cytometry Manager at NIHR Biomedical Research Centre at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London. |