—With the development of improved and cost-effective technologies, it is now possible to detect thousands of metabolites in biofluids or specific organs, and reliably quantify th...
Ali Cakmak, Arun Dsouza, Richard Hanson, Gultekin ...
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
In optimization problems involving large amounts of data, such as web content, commercial transaction information, or bioinformatics data, individual function evaluations may take ...
Andrew W. McNabb, Christopher K. Monson, Kevin D. ...
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
PRINTS is a database of protein family ‘fingerprints’ offering a diagnostic resource for newly-determined sequences. By contrast with PROSITE, which uses single consensus expr...
Terri K. Attwood, Michael E. Beck, Darren R. Flowe...