Background: Mass spectrometry based proteomics result in huge amounts of data that has to be processed in real time in order to efficiently feed identification algorithms and to e...
Andreas M. Boehm, Robert P. Galvin, Albert Sickman...
Background: Expression microarrays are increasingly used to characterize environmental responses and hostparasite interactions for many different organisms. Probe selection for cD...
Yian A. Chen, David J. Mckillen, Shuyuan Wu, Matth...
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
Today's networking community is becoming increasingly skeptical of the significance of research results founded wholly upon experimental results conducted in simulation. Now, ...
Jeffrey Considine, John W. Byers, Ketan Meyer-Pate...