I gave a tutorial talk at UVA-VADC Seminar Series 2021 and at monthly NIH Data Science Showcase seminar.
Title: Make Deep Learning Interpretable for Sequential Data Analysis in Biomedicine
This tutorial includes four of our recent papers:
Tool DeepChrome: deep-learning for predicting gene expression from histone modifications
Tool AttentiveChrome: Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin
Tool: GCNChrome: Graph Convolutional Networks for Epigenetic State Prediction Using Both Sequence and 3D Genome Data
Tool: Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences
Thanks for reading!