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Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining

Xochitl C Morgan†, Shulin Ni, Daniel P Miranker and Vishwanath R Iyer*

BMC Bioinformatics 2007, 8:445 doi:10.1186/1471-2105-8-445

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Ontology-based Brucella vaccine literature indexing and systematic analysis of gene-vaccine association network

Junguk Hur, Zuoshuang Xiang, Eva L Feldman, Yongqun He BMC Immunology 2011, 12:49 (26 August 2011)

Abstract | Full text | PDF | PubMed |  Editor’s summary

Applying Vaccine Ontology in literature mining enhances the retrieval of related literature, resulting in the generation of a comprehensive co-citation network of genes and vaccines which provides potential valuable opportunities for the development of new vaccines.

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A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes

Guofeng Meng, Axel Mosig, Martin Vingron BMC Bioinformatics 2010, 11:267 (20 May 2010)

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Identification of temporal association rules from time-series microarray data sets

Hojung Nam, KiYoung Lee, Doheon Lee BMC Bioinformatics 2009, 10(Suppl 3):S6 (19 March 2009)

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