Brown University,
Division of Biology and Medicine
Center for Statistical Sciences Seminar Series
1st Floor Conference Room - #106 |
Abstract: Design and analysis of clinical trials are perhaps the most commonly known applications of statistics in the pharmaceutical industry. There are, however, many other opportunities for statisticians to add value. Several of these are described, including decision-making in early development and the creation of in silico models for preclinical development. Implications for students and teachers of statistics are also discussed.
Center for Fluid Mechanics
And
The Fluids, Thermal and Chemical Processes Group
Of
The Division Of Engineering
Seminar Series
Abstract: We present a global variational definition of a vortex core in three-dimensional Navier-Stokes flow, and describe its numerical implementation for studying the evolution of principal vortical structures. Our definition is motivated by the observation that the line integral of vorticity along any path worthy of being called a vortex core is likely to be large. Inverting this reasoning, we define a vortex core as a curve for which this line integral is a local maximum in the space of all such curves (with appropriate boundary cinditions). We present an algorithm by which candidate curves are evolved according to a Ginzburg-Landau equation in order to locate vortex cores, along with numerical results for a problem of vortex reconnection posed by Aref and Zawadzki. Finally, we describe the VORTONICS software suite used to obtain these results, and its recent deployment on the NSF's TeraGrid using the MPICH-G2 library.
**Center for Computational Molecular Biology Seminar Series**
Harvard University, Cambridge, MA | |
Abstract: Understanding how genes are regulated in various circumstances (e.g., heatshock, starvation, etc.) is a central problem in molecular biology. The adoption of large-scale biological data generation techniques such as the mRNA microarrays has enabled researchers to tackle the gene regulation problem in a global way. Using the baker's yeast as a model system, we explore the combined use of gene upstream sequence signals to explain the observed mRNA variations and to model the clustering effect based on multiple microarray experiments. We will briefly discuss our methods for finding sequence signals, and our use of variable selection techniques to screen out uninteresting ones.
Codegroup Seminar
PDE Seminar
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