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DSS
2007
127views more  DSS 2007»
14 years 11 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
BMCBI
2007
182views more  BMCBI 2007»
14 years 11 months ago
Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data
Background: ChIP-chip data, which indicate binding of transcription factors (TFs) to DNA regions in vivo, are widely used to reconstruct transcriptional regulatory networks. Howev...
Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
14 years 11 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
14 years 11 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
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BIOINFORMATICS
2007
100views more  BIOINFORMATICS 2007»
14 years 11 months ago
Boolean dynamics of genetic regulatory networks inferred from microarray time series data
Shawn Martin, Zhaoduo Zhang, Anthony Martino, Jean...