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» Gene networks inference using dynamic Bayesian networks
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TCS
2008
15 years 6 months ago
Temporal constraints in the logical analysis of regulatory networks
Starting from the logical description of gene regulatory networks developed by R. Thomas, we introduce an enhanced modelling approach based on timed automata. We obtain a refined ...
Heike Siebert, Alexander Bockmayr
BMCBI
2010
153views more  BMCBI 2010»
15 years 5 months ago
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
ICASSP
2009
IEEE
16 years 28 days ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
UAI
1998
15 years 7 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
TIT
2010
97views Education» more  TIT 2010»
15 years 27 days ago
Periodic orbits and equilibria in glass models for gene regulatory networks
Abstract--Glass models are frequently used to model gene regulatory networks. A distinct feature of the Glass model is that its dynamics can be formalized as paths through multi-di...
Igor Zinovik, Yury Chebiryak, Daniel Kroening