Visualizing pathways, i. e. models of cellular functional networks, is a challenging task in computer assisted biomedicine. Pathways are represented as large collections of interw...
Marc Streit, Michael Kalkusch, Karl Kashofer, Diet...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
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 ...
Contrary to the sequential world, the processes involved in a distributed system do not necessarily know when a computation is globally finished. This paper investigates the proble...
In the resource over-constrained environment of sensor networks, techniques for storing data locally in sensor nodes have been proposed to support efficient processing of adhoc qu...
Mohamed Aly, Nicholas Morsillo, Panos K. Chrysanth...