Several systems have been presented in the last years in order to manage the complexity of large microarray experiments. Although good results have been achieved, most systems ten...
Ivan Porro, Livia Torterolo, Luca Corradi, Marco F...
Background: Models for the simulation of metabolic networks require the accurate prediction of enzyme function. Based on a genomic sequence, enzymatic functions of gene products a...
Constantin Bannert, A. Welfle, C. aus dem Spring, ...
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Background: As more and more genomes are sequenced, comparative genomics approaches provide a methodology for identifying conserved regulatory elements that may be involved in gen...