Deep Learning in Genomics
|Location:||CIT 101 (Remote Access)|
|Meeting Time:||J hr: T, Th 1:00-2:20|
|Exam Group:||08: 13-DEC-2021 Exam Time: 02:00:00 PM|
|Offered this year?||Yes|
|When Offered?||Every year|
Deep learning models have achieved impressive performance in fields like computer vision and NLP. Given an adequate amount of data, these models can extract meaningful representations to perform accurate predictions. The collection of vast quantities of biological data naturally leads to the question -- can deep learning help us understand genomics? In this seminar-style class, we will cover the recent research literature trying to answer this question. We will learn how state-of-the-art models like CNNs, RNNs, GCNs, GANs, etc. have been applied to solve significant problems in genomics and what unique challenges are presented by the data in this field.