Do you work with PPMI data and investigate subtyping in Parkinson’s disease? If so, please join us on Tuesday, July 15th, 1:00-2:00pm (EDT) for our next community webinar as we hear from Dr. Victoria Catterson (@vcatterson), VP of Research at BioSymetics Inc.
This talk will cover how to build a machine learning pipeline to uncover subtypes of Parkinson’s disease within the PPMI dataset, detailing the steps taken to clean, preprocess, and engineer features from various clinical PPMI data tables, with tips and tricks to maximize successful discovery. @vcatterson will also discuss different clustering methods and the various metrics used to determine when a ‘good fit’ has been found, as well as the main clinical findings derived from this approach.
If you are interested in attending, please reply to this post and we will add you to the calendar invite. If you have other colleagues who are not currently members of this community, please feel free to forward them this post or send their contact information to us (researchcommunity@michaeljfox.org).
Reminding folks that this webinar will be taking place one week from today!
We hope you will join us! Also noting that this event is open to the public so if you are aware of colleagues or collaborators who may be of interest but are not yet member of this community, please send us their contact information or ask them to email researchcommunity@michaeljfox.org to be added to the event.
Do you have ideas or suggestions for other webinar topics you would like to see? Is there a tool you feel the community would benefit from highlighting? Let us know by leaving your thoughts in this thread: Seeking Webinar Ideas and Requests from the Community.
Thanks, Greg! It was a real pleasure to present, and many thanks to the audience for their insightful questions. I really enjoyed the discussion afterwards!