High-dimensional data sets often carry meaningful
low-dimensional structures. There are different ways of extracting
such structural information. The classic (circa 2000, with some
anticipation in the 1990s) strategy of nonlinear
dimensionality...
DNA copy number abnormalities (CNAs) play an important role in
cancer, and are associated with tumor progression as well as
clinical outcome. Using microarray based comparative genomic
hybridization (CGH), analysis of CNAs across large cohorts
of...
Can we use computational algorithms to make accurate predictions
of physical phenomena? In this talk, intended for non-experts, I
will give examples where complicated space-time phenomena can be
exquisitely captured with simple computational...