Friday, June 20, 2008 - 9:00am - 10:30am
Jonathan Rubin (University of Pittsburgh)
No Abstract
Tuesday, May 13, 2008 - 2:45pm - 3:45pm
Grzegorz Rempala (University of Louisville)
Consider the system of reaction rate equations (RRE) describing a chemical network with the reaction rate constants considered to be unknown parameters. The talk shall describe a statistical approach to identifying the most likely network from a given set of RRE coefficient estimates. The idea relies on mapping the estimated reaction constants into an appropriate convex region of a network stochiometric space in order to identify the reactions which are most likely to span that region.
Wednesday, January 16, 2008 - 10:10am - 10:25am
Hans Othmer (University of Minnesota, Twin Cities)
Biological networks that arise in signal transduction, metabolism, gene
control or other cellular functions frequently involve many steps and
many levels of control, but are remarkably reliable in producing the
desired output in response to inputs. In this talk we will discuss
general characteristics such as sensitivity and adaptation of networks,
give several examples that illustrate how robustness is achieved, and
discuss the mathematical techniques that can contribute to understanding
Thursday, January 12, 2006 - 2:30pm - 3:15pm
Art Wetzel (Pittsburgh Supercomputing Center)
Work in collaboration with the PSC-VB team and the Duke Center for In
Vivo Microscopy (CIVM) with support from the National Library of Medicine.

Volumetric datasets (CT, MRI, EM, etc.) on the gigabyte scale are relatively
common in the basic and clinic al Life Sciences, and datasets on the terabyte
scale will become increasingly common in the near future. At these scales
visualization and analysis using typical users desktop systems is difficult.
We have been developing a client-server system, the PSC Volume Browser


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