Science disciplines are experiencing a data avalanche. As a result, scientific research is limited by data analysis and visualization capabilities. We have been working closely wi...
Kai Li, Matthew A. Hibbs, Grant Wallace, Olga G. T...
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
We have developed a method for the integrative analysis of protein interaction data. It comprises clustering, visualization and data integration components. The method is generall...
Matthias Fellenberg, Kaj Albermann, Alfred Zollner...
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...