PerMedCoE organises the session ‘Modelling and simulation for the interpretation of single-cell data’, which was held virtually on 16 September 2021 from 3.20-6.20pm CEST, at the CompBioMed Conference 2021.
Modelling and simulation for the interpretation of single-cell data
Single-cell technologies have emerged as a groundbreaking technique in molecular biology, providing unprecedented insights into cellular heterogeneity. Their unique characteristics have stimulated the development of a vast generation of computational methods aimed at profiling cell differentiation trajectories, reconstructing cell-type-specific gene regulatory networks, or inferring cell-to-cell communication, among others.
The goal of this session is to bring together different Computational Biology researchers at the interphase of single-cell data studies and modelling to discuss advancements on both ends and facilitate exchanges that could help accelerate research.
Programme
15:20 – 16:00 – The potential of multi-omics for clinical variable modeling in cancer, Altuna Akalin (MDC)
16:00 – 16:20 – Drug Repurposing Pipeline Using Overparametrized Representation Learning and Causality, Louis Cammarata (Harvard University)
16:20 – 16:40 – Forecasting cellular states: from descriptive to predictive biology via single-cell multiomics, Genevieve Stein-O’Brien (Johns Hopkins School of Medicine)
16:40 – 16:50 – Coffee break
16:50 – 17:10 – Modelling cell-cell communication from biological knowledge and single-cell data, Julio Sáez-RodrÃguez (Heidelberg University)
17:10 – 17:30 – Technical and biological variability in single-cell and spatial genomics, Elisabetta Mereu (Josep Carreras Research Institute)
17:30 – 17:50 – Systems biology and the metabolic heterogeneity in cancer, Osbaldo Resendis (INMEGEN)
17:50 – 18:10 – PerMedCoE project overview, Alfonso Valencia (Barcelona Supercomputing Center, BSC)
18:10 – 18:20 – Wrap up and questions