31 search results - page 5 / 7 » Learning Dynamic Bayesian Networks from Multivariate Time Se... |
KDD
2009
ACM
14 years 1 days ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
BMCBI
2007
13 years 7 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
BMCBI
2007
13 years 7 months ago
2007
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
IDEAL
2004
Springer
14 years 25 days ago
2004
Springer
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
BMCBI
2007
13 years 7 months ago
2007
Background: Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As ...