Global similarity and local divergence in human and mouse gene co-expression networks
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* Corresponding author: Eugene V Koonin koonin@ncbi.nlm.nih.gov
BMC Evolutionary Biology 2006, 6:70 doi:10.1186/1471-2148-6-70
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BioMed Central: 5 citations
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Proceedings
Systematic identification of functional modules and cis-regulatory elements in Arabidopsis thaliana Jianhua Ruan, Joseph Perez, Brian Hernandez, Chengwei Lei, Garry Sunter, Valerie M Sponsel BMC Bioinformatics 2011, 12(Suppl 12):S2 (24 November 2011) |
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Methodology article
Jianhua Ruan, Angela K Dean, Weixiong Zhang BMC Systems Biology 2010, 4:8 (2 February 2010) |
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Research article
I King Jordan, Lee S Katz, Dee R Denver, J Todd Streelman BMC Systems Biology 2008, 2:96 (13 November 2008) |
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Method
Boolean implication networks derived from large scale, whole genome microarray datasets Debashis Sahoo, David L Dill, Andrew J Gentles, Robert Tibshirani, Sylvia K Plevritis Genome Biology 2008, 9:R157 (30 October 2008) A method for analysis of microarray data is presented that extracts statistically significant Boolean implication relationships between pairs of genes. |
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Research article
Employing conservation of co-expression to improve functional inference Carsten O Daub, Erik LL Sonnhammer BMC Systems Biology 2008, 2:81 (22 September 2008) The accuracy of predictions of protein interactions may be improved by employing a cross-species strategy, comparing patterns of co-expressed genes from a number of species using popular co-expression distance measures.
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