The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Volunteer Computing is becoming a new paradigm not only for the Computational Grid, but also for institutions using production-level Data Grids because of the enormous storage pot...
Jesus Luna, Michail Flouris, Manolis Marazakis, An...
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...