JHU Deep Learning in Genomics Journal Club
When Genomics Sequences Meet Deep Learning

Eduarda Vaz - "Effective gene expression prediction from sequence by integrating long-range interactions" (Avsec et al.)

Overview

Paper Information

  • Title: Effective gene expression prediction from sequence by integrating long-range interactions
  • Authors: Žiga Avsec, Vikram Agarwal, Daniel Visentin, Joseph R. Ledsam, Agnieszka Grabska-Barwinska, Kyle R. Taylor, Yannis Assael, John Jumper, Pushmeet Kohli & David R. Kelley
  • Journal: Nature Methods volume 18, pages1196–1203 (2021)
  • DOI & Link: https://www.nature.com/articles/s41592-021-01252-x

Slides

Below are the slides for this talk, embedded directly from Google Drive:

Slides

Contact

For questions or further discussion, please reach out to genomicdeeplearning@cs.jhu.edu