Anshul Kundaje, PhD, Stanford University

Presents:  Deciphering the cis-regulatory code and regulatory genetic variation with deep learning models

Host:  Dr. Heather Lawson

In person only:  Connor Auditorium (FLTC)

Abstract: I will present lightweight, interpretable deep learning models that can predict diverse biochemical profiles spanning transcription factor binding, chromatin accessibility, nascent transcription, steady state transcription and reporter assays. I will show how our models (1) detect, learn and correct cryptic experimental biases, (2) reveal underlying causal sequence syntax and its pleiotropy across biochemical and cellular contexts, (3) encode biophysical parameters and (4) predict effects of regulatory genetic variants.