LADE Meeting

Edith Villegas

Title: Deep Learning Models for Biological Sequences


Recent advancements in deep learning, particularly in sequence modeling, have revolutionized our ability to analyze and understand complex biological data, paving the way for advancements in precision medicine, drug discovery, and synthetic biology. Potential applications range from predicting the clinical impact of mutations in the human genome to designing entirely new organisms from scratch. In this talk, we will look at some recently developed models for studying of DNA and protein sequences. Later, we will explore the possibility of examining and comparing the representations emerging from the intermediate layers of these models using current analytical techniques.

May 21, 2024 11:30 AM — 12:30 PM
LADE Meeting
Sala Riunioni RIT, Area Science Park
Località Padriciano 99, Trieste, 34149
Area Science Park - RIT
Area Science Park - RIT
Research Institute

The Institute of Research and Innovation Technology (RIT) at Area Science Park carries out cutting-edge research and provides services and consulting to public and private-sector users through its three laboratories equipped with state-of-the-art technology.