Advances in Theoretical and Experimental Methods for Analyzing Complex Regulatory Networks
Videos from BIRS Workshop
Jay Newby, University of Alberta
Monday Feb 17, 2020 09:02 - 09:39
Stochastic models of rare events in cell biology
Elizabeth Read, UC Irvine
Monday Feb 17, 2020 19:32 - 20:23
Stochastic modeling to infer gene regulatory rules from single cell coexpression patterns
Thomas Julou, University of Basel
Tuesday Feb 18, 2020 08:45 - 09:25
Faster Growth Reduces the Sensitivity of Gene Circuits to Environmental Signals
Thomas Wytock, Northwestern University
Tuesday Feb 18, 2020 11:15 - 11:49
Using machine learning to map transcriptomics to phenotype in bacteria and humans
Andrew Mugler, University of Pittsburgh
Tuesday Feb 18, 2020 15:32 - 16:23
Self-communicating cancer cells
David Sivak, Simon Fraser University
Wednesday Feb 19, 2020 09:44 - 10:35
Physically optimizing inference
Robert Johnston, Johns Hopkins University
Thursday Feb 20, 2020 15:32 - 16:23
A two-step mechanism controlling stochastic cell fate specification in the fly eye
Marc Roussel, University of Lethbridge
Thursday Feb 20, 2020 17:02 - 17:48
Graph-theoretical analysis of biochemical networks
Jim Brunner, Mayo Clinic
Thursday Feb 20, 2020 19:34 - 20:14
Developing a mathematical structure to reflect microbial community interactions
