Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
In the research described here, we have constructed at tightly coupled set of methods for monitoring, steering, and applying visual analysis to large scale simulations. This work ...
Yves Jean, Thomas Kindler, William Ribarsky, Weimi...
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
We introduce a model-based analysis technique for extracting and characterizing rhythmic expression pro les from genome-wide DNA microarray hybridization data. These patterns are ...
Christopher James Langmead, Anthony K. Yan, C. Rob...
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...