Improved human disease candidate gene prioritization using mouse phenotype
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* Corresponding author: Anil G Jegga Anil.Jegga@cchmc.org
BMC Bioinformatics 2007, 8:392 doi:10.1186/1471-2105-8-392
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BioMed Central: 8 citations
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Short report
Joseph D Buxbaum, Catalina Betancur, Ozlem Bozdagi, Nate P Dorr, Gregory A Elder, Patrick R Hof Molecular Autism 2012, 3:1 (20 February 2012) |
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Poster presentation
Toward PWAS: discovering pathways associated with human disorders Emre Guney, Baldo Oliva BMC Bioinformatics 2011, 12(Suppl 11):A12 (21 November 2011) |
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Review
Linking genes to diseases: it's all in the data Nicki Tiffin, Miguel A Andrade-Navarro, Carolina Perez-Iratxeta Genome Med 2009, 1:77 (7 August 2009) Computational approaches to disease-gene associations, especially those that use phenotype ontologies, can help to prioritize the most likely candidate genes.
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Meeting report
Proceedings of the Eighth Annual UT-ORNL-KBRIN Bioinformatics Summit 2009 Eric C Rouchka, Julia Krushkal BMC Bioinformatics 2009, 10(Suppl 7):I1 (25 June 2009) |
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Research article
Disease candidate gene identification and prioritization using protein interaction networks Jing Chen, Bruce J Aronow, Anil G Jegga BMC Bioinformatics 2009, 10:73 (27 February 2009) |
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Methodology article
Conserved co-expression for candidate disease gene prioritization Martin Oti, Jeroen van Reeuwijk, Martijn A Huynen, Han G Brunner BMC Bioinformatics 2008, 9:208 (23 April 2008) |
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Methodology article
Using genetic markers to orient the edges in quantitative trait networks: The NEO software Jason E Aten, Tova F Fuller, Aldons J Lusis, Steve Horvath BMC Systems Biology 2008, 2:34 (15 April 2008) |
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Research article
Dissecting microregulation of a master regulatory network Amit U Sinha, Vivek Kaimal, Jing Chen, Anil G Jegga BMC Genomics 2008, 9:88 (23 February 2008) |