Data prefetching effectively reduces the negative effects of long load latencies on the performance of modern processors. Hardware prefetchers employ hardware structures to predic...
Jamison D. Collins, Suleyman Sair, Brad Calder, De...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Background: Since many of the new protein structures delivered by high-throughput processes do not have any known function, there is a need for structure-based prediction of prote...
Jean-Christophe Nebel, Pawel Herzyk, David R. Gilb...
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Genome-wide microarray designs containing millions to hundreds of millions of probes are available for a variety of mammals, including mouse and human. These genome tiling arrays ...