SinCellMod-2020: Single cell data in network modeling

BACK IN THE VIRTUAL WORLD: December 1-2, 2020

«L'emploi des moyennes en physiologie et en médecine ne donne le plus souvent qu'une fausse précision aux résultats en détruisant le caractère biologique des phénomènes. » Claude Bernard

This quote from the father of modern physiology and medicine highlights the need for measuring biological phenomena at their relevant scale. The recent explosion in techniques allowing to interrogate the molecular content at the single cell level now allows to unleash the full power of the cell theory formulated in 1839. The resulting deluge in single-cell generated data is profoundly reshaping our vision of the living systems.

Beyond a more accurate characterization of the cell types, these data also allows anunprecedented access to the biophysical reality of the cell. As such, single-cell generated data can not (an should not) be handled by algorithms and modeling schemes designed for handling population-based data. They are both richer and quite different fromsingle-cell generated data. This one day meeting is co-organized by the GT BIOSS, the UMS BioSciences and BioSyL to specifically address the opportunities and challenges in single-cell data for the dynamical modeling.

https://easychair.org/cfp/SinCellMod2020

Keynote speakers

• Ido Amit, Weizmann Institut of Science, Rehovot, Israel


• Antonio del Sol Mesa, Luxembourg Centre for Systems Biomedicine, Belvaux, Luxembourg
   
• Malte Lücken, Helmholtz Zentrum, München , Germany