Talk abstract:
Cell-based methods for sampling high-dimensional spaces
Jason Rush, University of Washington
We regard the compounts in a combinatorial library of potential
drugs as points in a Euclidean space of many dimensions, the
coordinates of a point representing properties used to characterize
the compound it represents. By decomposing the space into certain
advantageously selected Voronoi cells (not by the standard decomposition
into hypercubes), and by choosing within each cell ( e.g.,
for closer scrutiny, synthesis, etc.) a point near its center,
one obtains conveniently small subsets that are highly representative
of the larger library.
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Schedule
1996-1997
Mathematics in High Performance Computing
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