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:
- Add the dose-response curve to formulation data
- Explore data while maintaining context
- Implement the statistics and the formulation what-if
- Leverage TIBCO Spotfire X for experimental data