While much research has been done on finding similarities between protein sequences, there has not been the same progress on finding similarities between protein structures. Here ...
Tom Milledge, Gaolin Zheng, Tim Mullins, Giri Nara...
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Abstract The pervasiveness and impact on society and on every day human life of technology has led to a growing awareness that science and technology cannot be considered above or ...
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Correlation measures are important tools for the analysis of simultaneously recorded spike trains. A well-known measure with probabilistic interpretation is the cross-intensity fun...