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Rainer Spang

Showing results (51-60 of 131) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|March 31, 2009
Modeling the temporal interplay of molecular signaling and gene expression by using dynamic nested effects modelsBenedict Anchang, Mohammad J Sadeh, Juby Jacob, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 30, 2020
Loss-Function Learning for Digital Tissue DeconvolutionFranziska Görtler, Marian Schön, Jakob Simeth, et al.
Microbiome|June 23, 2016
Adjusting microbiome profiles for differences in microbial load by spike-in bacteriaFrank Stämmler, Joachim Gläsner, Andreas Hiergeist, et al.
Journal of Proteome Research|July 7, 2015
Data Normalization of (1)H NMR Metabolite Fingerprinting Data Sets in the Presence of Unbalanced Metabolite RegulationJochen Hochrein, Helena U Zacharias, Franziska Taruttis, et al.
International Journal of Cancer|September 27, 2016
Synergy of interleukin 10 and toll-like receptor 9 signalling in B cell proliferation: Implications for lymphoma pathogenesisMaren Feist, Judith Kemper, Franziska Taruttis, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|February 5, 2014
Increased expression of c-Jun in nonalcoholic fatty liver diseaseChristoph Dorn, Julia C Engelmann, Michael Saugspier, et al.
Biological Procedures Online|July 16, 2019
Automated macrophage counting in DLBCL tissue samples: a ROF filter based approachMarcus Wagner, René Hänsel, Sarah Reinke, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 31, 2024
Correcting for Observation Bias in Cancer Progression ModelingRudolf Schill, Maren Klever, Andreas Lösch, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 30, 2020
DTD: An R Package for Digital Tissue DeconvolutionMarian Schön, Jakob Simeth, Paul Heinrich, et al.
Bioinformatics Advances|January 9, 2026
<b>mhn</b>: a Python package for analyzing cancer progression with Mutual Hazard NetworksStefan Vocht, Yanren Linda Hu, Andreas Lösch, et al.
Pageof 14

Showing results (51-60 of 131) with videos related to

Sort By:
Pageof 14
Proceedings of the National Academy of Sciences of the United States of America|March 31, 2009
Modeling the temporal interplay of molecular signaling and gene expression by using dynamic nested effects modelsBenedict Anchang, Mohammad J Sadeh, Juby Jacob, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 30, 2020
Loss-Function Learning for Digital Tissue DeconvolutionFranziska Görtler, Marian Schön, Jakob Simeth, et al.
Microbiome|June 23, 2016
Adjusting microbiome profiles for differences in microbial load by spike-in bacteriaFrank Stämmler, Joachim Gläsner, Andreas Hiergeist, et al.
Journal of Proteome Research|July 7, 2015
Data Normalization of (1)H NMR Metabolite Fingerprinting Data Sets in the Presence of Unbalanced Metabolite RegulationJochen Hochrein, Helena U Zacharias, Franziska Taruttis, et al.
International Journal of Cancer|September 27, 2016
Synergy of interleukin 10 and toll-like receptor 9 signalling in B cell proliferation: Implications for lymphoma pathogenesisMaren Feist, Judith Kemper, Franziska Taruttis, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|February 5, 2014
Increased expression of c-Jun in nonalcoholic fatty liver diseaseChristoph Dorn, Julia C Engelmann, Michael Saugspier, et al.
Biological Procedures Online|July 16, 2019
Automated macrophage counting in DLBCL tissue samples: a ROF filter based approachMarcus Wagner, René Hänsel, Sarah Reinke, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 31, 2024
Correcting for Observation Bias in Cancer Progression ModelingRudolf Schill, Maren Klever, Andreas Lösch, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 30, 2020
DTD: An R Package for Digital Tissue DeconvolutionMarian Schön, Jakob Simeth, Paul Heinrich, et al.
Bioinformatics Advances|January 9, 2026
<b>mhn</b>: a Python package for analyzing cancer progression with Mutual Hazard NetworksStefan Vocht, Yanren Linda Hu, Andreas Lösch, et al.
Pageof 14