BMC Bioinformatics

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Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification

Li-Hsieh Lin, Hsiao-Ching Lee, Wen-Hsiung Li and Bor-Sen Chen*

BMC Bioinformatics 2005, 6:258 doi:10.1186/1471-2105-6-258

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BioMed Central: 6 citations

Research article   Open Access

A systems biology approach to construct the gene regulatory network of systemic inflammation via microarray and databases mining

Bor-Sen Chen, Shih-Kuang Yang, Chung-Yu Lan, Yung-Jen Chuang BMC Medical Genomics 2008, 1:46 (30 September 2008)

Research article   Open Access Highly Accessed

Construction of a cancer-perturbed protein-protein interaction network for discovery of apoptosis drug targets

Liang-Hui Chu, Bor-Sen Chen BMC Systems Biology 2008, 2:56 (30 June 2008)

Method   Open Access Highly Accessed

High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae

Hun-Goo Lee, Hyo-Soo Lee, Sang-Hoon Jeon, Tae-Hoon Chung, Young-Sung Lim, Won-Ki Huh Genome Biology 2008, 9:R2 (3 January 2008)

A novel approach for identifying condition-specific regulatory modules in yeast reveals functionally distinct coregulated submodules.

Methodology article   Open Access Highly Accessed

A systematic approach to detecting transcription factors in response to environmental stresses

Li-Hsieh Lin, Hsiao-Ching Lee, Wen-Hsiung Li, Bor-Sen Chen BMC Bioinformatics 2007, 8:473 (8 December 2007)

Research article   Open Access

Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data

Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen BMC Bioinformatics 2007, 8:188 (8 June 2007)

Method   Open Access

Ranked prediction of p53 targets using hidden variable dynamic modeling

Martino Barenco, Daniela Tomescu, Daniel Brewer, Robin Callard, Jaroslav Stark, Michael Hubank Genome Biology 2006, 7:R25 (31 March 2006)

Hidden Variable Dynamic Modelling is a new approach to microarray analysis that quantitatively predicts the regulation of gene activity.