CPCP Second Annual Retreat
Jun 30, 2016
8:00 am - 5:00 pm
Wisconsin Institutes for Discovery 330 N. Orchard St. Madison, WI
The day-long program will feature a keynote lecture by Dr. Phil Bourne, the Associate Director for Data Science of the NIH, and presentations by CPCP faculty, postdocs and students. In addition to presentations, there will be poster sessions, and ample opportunities to connect with the speakers and other event attendees.
The topics covered in CPCP presentations will include:
- Modeling and predicting thousands of phenotypes from electronic health records and RNAseq profiles;
- genome-wide characterization of polymorphisms and regulatory elements;
- large-scale entity matching for experiment metadata and drug descriptors;
- innovative new approaches for inferences on graph partitions, learning predictive models for manifold-valued responses, and penalized learning methods that leverage structured information;
- applications to breast-cancer screening and Alzheimer's disease.
The Center for Predictive Computational Phenotyping is developing innovative computational and statistical methods and software for a broad range of problems that involve extracting relevant phenotypes from complex data sources and predicting clinically important phenotypes before they are exhibited. The Center is investigating how to exploit a wide array of data types for these tasks, including molecular profiles, medical images, electronic health records, and population-level data. To see the complete agenda for the day, please click here.