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Genomics, Proteomics & Bioinformatics|September 15, 2006
Normalization using weighted negative second order exponential error functions (NeONORM) provides robustness against asymmetries in comparative transcriptome profiles and avoids false callsSebastian Noth, Guillaume Brysbaert, Arndt BeneckeGenomics, Proteomics & Bioinformatics|June 19, 2007
Generation of synthetic transcriptome data with defined statistical properties for the development and testing of new analysis methodsGuillaume Brysbaert, Sebastian Noth, Arndt BeneckeGenomics, Proteomics & Bioinformatics|May 29, 2007
High-sensitivity transcriptome data structure and implications for analysis and biologic interpretationSebastian Noth, Guillaume Brysbaert, François-Xavier Pellay, et al.Genomics, Proteomics & Bioinformatics|May 11, 2010
Quality assessment of transcriptome data using intrinsic statistical propertiesGuillaume Brysbaert, François-Xavier Pellay, Sebastian Noth, et al.BMC Bioinformatics|December 24, 2005
Avoiding inconsistencies over time and tracking difficulties in Applied Biosystems AB1700/Panther probe-to-gene annotationsSebastian Noth, Arndt Benecke, Nucleic Acids Research|November 20, 2010
7SK small nuclear RNA directly affects HMGA1 function in transcription regulationSebastian Eilebrecht, Guillaume Brysbaert, Thomas Wegert, et al.BMC Research Notes|October 30, 2008
EBER2 RNA-induced transcriptome changes identify cellular processes likely targeted during Epstein Barr Virus infectionSebastian Eilebrecht, François-Xavier Pellay, Peter Odenwälder, et al.Genomics, Proteomics & Bioinformatics|August 25, 2012
CDS: a fold-change based statistical test for concomitant identification of distinctness and similarity in gene expression analysisNicolas Tchitchek, José Felipe Golib Dzib, Brice Targat, et al.Journal of Cell Science|October 2, 2008
Reduced tumorigenesis in mouse mammary cancer cells following inhibition of Pea3- or Erm-dependent transcriptionVirginie Firlej, Franck Ladam, Guillaume Brysbaert, et al.HFSP Journal|May 1, 2009
Gene regulatory network inference using out of equilibrium statistical mechanicsArndt BeneckePageof 10