Schedule
Day 1 - Mon Sep 11
09:00 – 09:45: Registration and Welcome from Organizers (P. Alexiou)
10:00 – 13:00: Workshop I - Browsing genes and genomes with Ensembl (A. Mushtaq)
13:00 – 14:00: Lunch Break
14:00 – 17:00: Workshop II - Browsing genes and genomes with Ensembl (A. Mushtaq)
Day 2 - Tue Sep 12
09:00 – 09:45: Introduction to Genomic Data (P. Alexiou)
10:00 – 13:00: Workshop III – Introduction to Deep Learning for Genomics (D. Cechak, V. Martinek)
13:00 – 14:00: Lunch Break
14:00 – 15:30: Gene regulation discovery in the era of third generation sequencing (E. Maragkakis)
15:30 – 17:00: Looking for hairpins in a genomic junkyard, CNNs for genomic annotation (P. Alexiou)
Day 3 - Wed Sep 13
09:00 – 09:45: Introduction to Transcriptomics (P. Alexiou)
10:00 – 13:00: Workshop IV: Introduction to eXplainable Artificial Intelligence (XAI) (L. Sousa, D. Cea)
13:00 – 14:00: Lunch Break
14:00 – 17:00: Workshop V: Explainability for Deep Neural Networks (K. Gresova)
Day 4 - Thu Sep 14
09:00 – 10:30: Introduction to Computer - Aided Drug Design (JP Ebejer)
10:30 – 11:30: Introduction to Molecular Representation and Random Forests (JP Ebejer)
11:30 – 13:00: Workshop VI: Machine Learning for Drug Discovery; some ideas (JP Ebejer)
13:00-14:00: Lunch Break
14:00 – 17:00: Workshop VII: Deep Learning for Protein Structure (D. Sramkova)
Evening: Conference Dinner
Day 5 - Fri Sep 15
09:00 – 09:45: Breakthroughs and Challenges in multi-omics (P. Alexiou)
10:00 – 13:00: Workshop VIII: Effective Dissemination and Communication of Research Results (E. Jarour)
13:00 – 14:00: Lunch Break
14:00 – 16:00: Round Table: Biomedical Research in the era of AI (P. Alexiou, E. Maragkakis, JP Ebejer)
