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Bioinformatics (Oxford, England)|April 8, 2010
Modular analysis of gene expression data with RGábor Csárdi, Zoltán Kutalik, Sven BergmannMolecular Systems Biology|March 10, 2010
Precision and scaling in morphogen gradient read-outAitana Morton de Lachapelle, Sven BergmannBioinformatics (Oxford, England)|March 27, 2004
Defining transcription modules using large-scale gene expression dataJan Ihmels, Sven Bergmann, Naama BarkaiPlos Biology|January 23, 2004
Similarities and differences in genome-wide expression data of six organismsSven Bergmann, Jan Ihmels, Naama BarkaiAddiction (Abingdon, England)|January 31, 2026
Bidirectional genetic and phenotypic links between smoking and striatal iron content involving dopaminergic and inflammatory pathwaysOlga Trofimova, Ilaria Iuliani, Sven BergmannPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 12, 2003
Iterative signature algorithm for the analysis of large-scale gene expression dataSven Bergmann, Jan Ihmels, Naama BarkaiNature Biotechnology|May 10, 2008
A modular approach for integrative analysis of large-scale gene-expression and drug-response dataZoltán Kutalik, Jacques S Beckmann, Sven BergmannBioinformatics (Oxford, England)|May 12, 2012
Correcting for the bias due to expression specificity improves the estimation of constrained evolution of expression between mouse and humanBarbara Piasecka, Marc Robinson-Rechavi, Sven BergmannPlos Genetics|February 14, 2006
Comparative gene expression analysis by differential clustering approach: application to the Candida albicans transcription programJan Ihmels, Sven Bergmann, Judith Berman, et al.Virus Genes|January 24, 2004
Investigations on the ORF 167L of lymphocystis disease virus (Iridoviridae)Sandra Essbauer, Uwe Fischer, Sven Bergmann, et al.Pageof 17