Session 3: Data and resource needs for machine learning in genomics

April 13-14, 2021 - The NHGRI Genomic Data Science Working Group hosts Machine Learning in Genomics: Tools, Resources, Clinical Applications and Ethics. This virtual workshop highlights the opportunities and obstacles that occur when applying machine learning methods to basic genome sciences and genomic medicine.

Moderators:
Christina Leslie, Ph.D., Memorial Sloan Kettering Cancer Center
Mark Craven, Ph.D., University of Wisconsin

Presenters:
Alexis Battle, Ph.D., Johns Hopkins University
Anshul Kundaje, Ph.D., Stanford University
Gregory Cooper, M.D., Ph.D., University of Pittsburgh

Chapters:
0:00 - Day 2 Opening Remarks (Trey Ideker)
2:04 - Day 2 Opening Remarks (Mark Craven)
5:04 - Presentation (Alexis Battle)
26:24 - Q&A with Alexis Battle
33:25 - Presentation (Anshul Kundaje)
59:16 - Q&A with Anshul Kundaje
1:06:23 - Presentation (Gregory Cooper)
1:20:45 - Q&A with Gregory Cooper Xinghua Lu
1:27:18 - General Q&A with Christina Leslie/Mark Craven, Alexis Battle, Anshul Kundaje, Gregory Cooper and Xinghua Lu