We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...
Wei Wang, Martin J. Wainwright, Kannan Ramchandran
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
Background: The analysis of microarray experiments requires accurate and up-to-date functional annotation of the microarray reporters to optimize the interpretation of the biologi...
Stan Gaj, Arie van Erk, Rachel I. M. van Haaften, ...
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...
Recently overlay networks have emerged as an efficient and flexible method for content distribution. An overlay network is a network running on top of another network, usually the ...