Come to CNAM on October 9 for a workshop on using KNIME for the Life Sciences from 2 to 5.30 PM
In this hands-on course we will use KNIME and a collection of open-source cheminformatics nodes to go through the process of building and validating a predictive model for biological activity using machine learning. We will approach this the way such problems are often solved in "real world" drug-discovery research: starting with a set of data from a primary high-throughput screening experiment we will clean up the data, filter out "undesirable" molecules, generate molecular fingerprints, and then, finally, build and validate a machine learning model. We'll introduce a couple of different learning algorithms and look at optimizing model hyper-parameters for our problem. The focus throughout will be very hands-on and practical.
This workshop is offered free of charge! Participation is limited to 25 people.
- The workshop will be in the Salon d'honneurs, one of the most beautiful rooms in the Conservatoire national des Art et Métiers). If you are coming by public transport, the closest metro station is Arts et Métiers.
- Snacks will be provided at the end of the workshop, before the meetup starts.
- Please bring your own laptop.
Interested in attending our first KNIME Users meetup in Paris after the workshop?
There will be talks by Jon Fuller and Mihaly Medihradszky (KNIME) as well as Eric Ginoux (Life & Soft), Olivier Lavergne (Chemin N'Life) and Thierry Convard (Idenix). Find out more about the meetup here.