481 search results - page 12 / 97 » Parameter estimation for Boolean models of biological networ... |
IJAR
2010
14 years 8 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
76
Voted
IDEAL
2004
Springer
15 years 3 months 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...
NIPS
2000
14 years 11 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
HYBRID
2007
Springer
15 years 3 months ago
2007
Springer
The lack of precise numerical information for the values of biological parameters severely limits the development and analysis of models of genetic regulatory networks. To deal wit...
CEC
2003
IEEE
15 years 1 months ago
2003
IEEE
Abstract- Complex systems techniques provide a powerful tool to study the emergent properties of networks of interacting genes. In this study we extract models of genetic regulator...