From Dose Response Curve to Formulation


Dose-response curves have been an integral part of drug discovery and development for centuries. Multi-dimensional data on proteins, compounds generated using modern techniques still relies on insights coming from the dose-response curves.

In this webinar, Christof Gänzler presents a modern workflow that adds results from dose-response curves to your already multidimensional data for quick and efficient analysis, while maintaining the context of your data, experiment(s).

The result is an interactive what-if application which is widely used in a variety of formulation assays and beyond.

Learn how to:
  1. Add the dose-response curve to formulation data
  2. Explore data while maintaining context
  3. Implement the statistics and the formulation what-if
  4. Leverage TIBCO Spotfire X for experimental data

Like what you're reading?

To view the full content, please fill out this form: