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Sebastian Noth

Showing results (1-10 of 7) with videos related to

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BMC Bioinformatics|December 24, 2005
Avoiding inconsistencies over time and tracking difficulties in Applied Biosystems AB1700/Panther probe-to-gene annotationsSebastian Noth, Arndt Benecke,
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 Benecke
Genomics, 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 Benecke
Genomics, 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.
Journal of Aging Research|June 2, 2011
Rapid assessment of age-related differences in standing balanceTobias Kalisch, Jan-Christoph Kattenstroth, Sebastian Noth, 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.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|December 24, 2005
Avoiding inconsistencies over time and tracking difficulties in Applied Biosystems AB1700/Panther probe-to-gene annotationsSebastian Noth, Arndt Benecke,
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 Benecke
Genomics, 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 Benecke
Genomics, 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.
Journal of Aging Research|June 2, 2011
Rapid assessment of age-related differences in standing balanceTobias Kalisch, Jan-Christoph Kattenstroth, Sebastian Noth, 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.
Pageof 1