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» Estimating dynamic models for gene regulation networks
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IDEAL
2004
Springer
14 years 25 days ago
Building Genetic Networks for Gene Expression Patterns
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...
Wai-Ki Ching, Eric S. Fung, Michael K. Ng
RECOMB
2004
Springer
14 years 7 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
ICONIP
2004
13 years 8 months ago
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
Ranjith Vasireddy, Somenath Biswas
BMCBI
2008
130views more  BMCBI 2008»
13 years 7 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
BMCBI
2010
167views more  BMCBI 2010»
13 years 7 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...