Interpreting 'omics data often involves statistical analysis of large numbers of loci such as genes, binding sites or single-nucleotide polymorphisms (SNPs). Although the data set as a whole may be ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

With the proliferation of XML as a new common data format, the problem of managing XML documents has become more critical. New technologies are now available that allow organizations to better manage ...

Mark J. Brewer, João A. N. Filipe, David A. Elston, Lorna A. Dawson, Robert W. Mayes, Chris Soulsby and Sarah M. Dunn This article introduces a hierarchical model for compositional analysis. Our ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

This is a preview. Log in through your library . Abstract We propose a novel Bayesian hierarchical model for brain imaging data that unifies voxel-level (the most localized unit of measure) and region ...