Présentation
This free online meeting is part of the EU-funded TranSYS school (https://h2020transys.eu), and features 13 talks by leading researchers from Europe, North America, and Australia that highlight various aspects of data analysis for precision medicine, such as single cell and genetics-driven analysis, several integrative analysis approaches and tools, clinical trials, and ethical aspects.
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Data analysis for Precision Medicine (online conference; all times CET)
Wednesday, November 24, 2021
9.00–9.05: Welcome, Benno Schwikowski, Institut Pasteur, Paris
9.05–10.30: Single cell modelling. Multi-omics strategies for single-cell quantification to address specific discovery questions, Alexander Skupin, University of Luxemburg
11.00–12.00: Introduction to clinical trials and evidence levels for establishing the use new treatments and technologies, Laurence Collette, International Drug Development Institute, Louvain-la-Neuve, Belgium
13.00–14.00: Good Gradients and How To Find Them: Towards Multi-Scale Representation Learning, Bastian Reick, Helmholtz Zentrum München & Technical University Munich
14.00–15.30: GWAS, polygenic scores, and beyond Celia Greenwood, McGill University, Montreal, Canada
16.00–17.00: Multi-omic network analysis in complex disease, Kimberly Glass, Brigham and Women’s Hospital & Harvard Medical School, Boston, USA
Thursday, November 25, 2021
8.00–9.00: Computational statistics for omics data*, Kim-Anh Lê Cao, University of Melbourne, Australia
9.00–10.30: Detecting active modules in multiplex networks, Elva-Maria Novoa-Del-Toro, Metabolism and Xenobiotics (MeX) / Toxalim / INRAE / Toulouse, France
11.00–12.30: Network data analytics in biology and medicine: towards new paradigms , Nataša Pržulj, Barcelona Super Computing Centre
13.30–14.30: Practical Tools for Improving Reproducibility (of Bioinformatics) Johan Dreo, Institut Pasteur, Paris
Friday, November 26, 2021
9.00–10.00: A Multi-omics Perspective on Personal Health, Gokhan Ertaylan, Flemish Institute for Technological Research, Belgium
10.30–11.30: ELIXIR and the distributed infrastructure for genomics and health Frederik Coppens, University of Gent, Belgium
13.30–14.45 On academic blogging and AI ethics Alan Winfield, Bristol Robot Laboratory, UK
15.00–16.00 Multilayer analysis Alfonso Valencia, Barcelona Supercomputing Center, Spain
16.00–17.00: Multiple omics clustering, data interpretation and predictive modelling Bertrand de Meulder, European Institute for Systems Biology and Medicine, France
*Preliminary title
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On the day before the event, we will send you a link for online participation