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2019 GTC San Jose

S9632 - Understanding Genome Regulation with Interpretable Deep Learning

Session Speakers
Session Description

We'll discuss how interpretable deep learning can significantly advance our understanding of genomic regulation. All our cells have the same DNA sequence, yet different cell-types express different genes in a process called genomic regulation. This regulation is driven by binding regulatory proteins to DNA. The vast majority of disease-associated mutations do not disrupt the DNA sequences of genes, but rather disrupt DNA sequences important for regulatory protein binding. Unfortunately, conventional computational models fail to explain which regulatory proteins are impacted for over 90 percent of such mutations. We show that by using deep learning coupled with our interpretation algorithms — DeepLIFT (https://github.com/kundajelab/deeplift) and TF-MoDISco (https://github.com/kundajelab/tfmodisco) — we can explain a substantially greater fraction of mutations that impact genomic regulation and obtain novel biological insights that are not provided by other methods.


Additional Information
Genomics/Bioinformatics
Genomics/Bioinformatics, Deep Learning/AI Frameworks, Computational Biology/Chemistry
Healthcare & Life Sciences
All technical
Talk
50 minutes
Session Schedule