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2017 GTC San Jose

L7147 - Deep Learning for Genomics using DragoNN with Keras and Theano (Presented by NVIDIA Deep Learning Institute)

Session Speakers
Session Description

In this lab, we use the dragonn toolkit on simulated and real regulatory genomic data, demystify popular DragoNN (Deep RegulAtory GenOmics Neural Network) architectures and provide guidelines for modeling and interpreting regulatory sequence using DragoNN models. We will answer questions such as When is a DragoNN good choice for a learning problem in genomics? How does one design a high-performance model? And more importantly, can we interpret these models to discover predictive genome sequence patterns to gain new biological insights?


Additional Session Information
Beginner
Instructor-Led Lab
AI in Healthcare Summit Deep Learning and AI
Healthcare & Life Sciences
2 hours
Session Schedule