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» Current approaches to gene regulatory network modelling
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JMLR
2012
11 years 11 months ago
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Marco Grzegorczyk, Dirk Husmeier
BMCBI
2008
135views more  BMCBI 2008»
13 years 8 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
AB
2007
Springer
14 years 2 months ago
Relating Attractors and Singular Steady States in the Logical Analysis of Bioregulatory Networks
Abstract. In 1973 R. Thomas introduced a logical approach to modeling and analysis of bioregulatory networks. Given a set of Boolean functions describing the regulatory interaction...
Heike Siebert, Alexander Bockmayr
BMCBI
2006
82views more  BMCBI 2006»
13 years 8 months ago
Prediction of a key role of motifs binding E2F and NR2F in down-regulation of numerous genes during the development of the mouse
Background: We previously demonstrated that gene expression profiles during neuronal differentiation in vitro and hippocampal development in vivo were very similar, due to a conse...
Michal Dabrowski, Stein Aerts, Bozena Kaminska
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 10 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi