682 search results - page 2 / 137 » Gene networks inference using dynamic Bayesian networks |
BMCBI
2010
13 years 4 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
BMCBI
2010
13 years 4 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
JCB
2006
13 years 4 months ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
PERCOM
2010
ACM
13 years 2 months ago
2010
ACM
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...