2248 search results - page 81 / 450 » Using Bayesian networks to analyze expression data |
CORR
2004
Springer
14 years 9 months ago
2004
Springer
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
TIT
2008
14 years 9 months ago
2008
The problem of distributed Bayesian estimation is considered in the context of a wireless sensor network. The Bayesian estimation performance is analyzed in terms of the expected F...
JCB
2006
14 years 9 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...
CIBB
2008
14 years 12 months ago
2008
Abstract. The analysis of large-scale regulatory models using data issued from genome-scale high-throughput experimental techniques is an actual challenge in the systems biology fi...
NIPS
2008
14 years 11 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...