Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
Julie D. Thompson, Arnaud Muller, Andrew M. Waterh...
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuo...
Vinayak R. Borkar, Kaustubh Deshmukh, Sunita Saraw...
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...