Deep Learning for Healthcare Genomics – University of Copenhagen

Deep Learning for Healthcare Genomics

This hands-on course teaches you how to apply deep learning to detect chromosome co-deletion and search for motifs in genomic sequences. It is offered in partnership with NVIDIA Deep Learning Institute and Nordic AI.

You’ll learn how to:

  • Understand the basics of convolutional neural networks (CNNs) and how they work.
  • Apply CNNs to MRI scans of low-grade gliomas (LGGs) to determine 1p/19q chromosome co-deletion status
  • Use the DragoNN toolkit to simulate genomic data and to search for motifs

Upon completion, you’ll be able to understand how CNNs work, evaluate MRI images using CNNs, and use real regulatory genomic data to research new motifs.

Prerequisites

Basic experience with CNNs and Python
Attendees MUST bring their own laptops and create an account on courses.nvidia.com/join before joining the workshop.

This course is part of the Nordic.AI Health Summit on September 13th, 2018.
Learn more and register for the summit here: health.nordic.ai.

Learn more about the Deep Learning Institute here: www.nvidia.co.uk/dli