Cheminformatics with KNIME Data Pipelining, Machine Learning, and Interactive Web Applications

Do you want to accelerate the R&D process through reproducible data analytics, and better manage and make use of your chemistry data?
Join Daria Goldmann and Alice Krebs (KNIME) in this webinar and learn how KNIME can facilitate collaboration with domain experts, enable you to build quick prototypes, and let you create and deploy machine learning models.
See how KNIME and its Cheminformatics Extensions are used to create an interactive web application that trains different machine learning models based on chemical fingerprints. This pipeline allows us to explore and evaluate the data as well as the resulting models. We’ll round the analysis up with a downloadable report.