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

August 3, 2021 by No Comments



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.

Workshop Agenda:

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

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