Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach
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* Corresponding author: Korbinian Strimmer korbinian.strimmer@lmu.de
Theoretical Biology and Medical Modelling 2005, 2:23 doi:10.1186/1742-4682-2-23
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BioMed Central: 10 citations
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Research article
Yi Zhang, Kim A Hatch, Joanna Bacon, Lorenz Wernisch BMC Systems Biology 2010, 4:37 (31 March 2010) |
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Methodology article
Systematic identification of transcription factors associated with patient survival in cancers Chao Cheng, Lei M Li, Pedro Alves, Mark Gerstein BMC Genomics 2009, 10:225 (15 May 2009) |
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Proceedings
Modeling post-transcriptional regulation activity of small non-coding RNAs in Escherichia coli Rui-Sheng Wang, Guangxu Jin, Xiang-Sun Zhang, Luonan Chen BMC Bioinformatics 2009, 10(Suppl 4):S6 (29 April 2009) |
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Methodology article
Chao Cheng, Lei M Li BMC Genomics 2008, 9:116 (3 March 2008) |
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Methodology article
Chao Cheng, Xiting Yan, Fengzhu Sun, Lei M Li BMC Bioinformatics 2007, 8:452 (16 November 2007) |
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Research
Bayesian model-based inference of transcription factor activity Simon Rogers, Raya Khanin, Mark Girolami BMC Bioinformatics 2007, 8(Suppl 2):S2 (3 May 2007) |
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Research article
Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge Florian Geier, Jens Timmer, Christian Fleck BMC Systems Biology 2007, 1:11 (2 February 2007) |
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Methodology article
Bioinformatics analysis of the early inflammatory response in a rat thermal injury model Eric Yang, Timothy Maguire, Martin L Yarmush, Francois Berthiaume, Ioannis P Androulakis BMC Bioinformatics 2007, 8:10 (10 January 2007) |
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Method
Clustering of genes into regulons using integrated modeling-COGRIM Guang Chen, Shane T Jensen, Christian J Stoeckert Genome Biology 2007, 8:R4 (4 January 2007) COGRIM, an implementation that integrates gene expression, ChIP binding and transcription factor motif data, is described and applied to both unicellular and mammalian organisms. |