Genomics data generally have larger feature sizes than its sample sizes, posing challenges for deep-learning application in this field. In this talk, I will elaborate how we get around the curse of small population size, and apply deep-learning creatively to predict disease prognosis.
Tuesday, January 28, 2020 at 2:00pm to 3:15pm
Hess Center for Science and Medicine , Davis Auditorium