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Carl Herrmann

Showing results (1-10 of 71) with videos related to

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Bioinformatics (Oxford, England)|June 16, 2023
Biologically informed variational autoencoders allow predictive modeling of genetic and drug-induced perturbationsDaria Doncevic, Carl Herrmann
BMC Bioinformatics|July 15, 2004
Clustering proteins from interaction networks for the prediction of cellular functionsChristine Brun, Carl Herrmann, Alain Guénoche
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 4, 2003
Connectivity distribution of spatial networksCarl Herrmann, Marc Barthélemy, Paolo Provero
Bioinformatics (Oxford, England)|September 25, 2009
SimCT: a generic tool to visualize ontology-based relationships for biological objectsCarl Herrmann, Sèverine Bérard, Laurent Tichit
Frontiers in Genetics|June 20, 2015
PrOnto database : GO term functional dissimilarity inferred from biological dataCharles E Chapple, Carl Herrmann, Christine Brun
Briefings in Bioinformatics|January 15, 2016
A comprehensive comparison of tools for differential ChIP-seq analysisSebastian Steinhauser, Nils Kurzawa, Roland Eils, et al.
Nucleic Acids Research|May 6, 2015
MapMyFlu: visualizing spatio-temporal relationships between related influenza sequencesNicholas Nolte, Nils Kurzawa, Roland Eils, et al.
Nucleic Acids Research|June 22, 2012
i-cisTarget: an integrative genomics method for the prediction of regulatory features and cis-regulatory modulesCarl Herrmann, Bram Van de Sande, Delphine Potier, et al.
Discover Mental Health|April 4, 2024
A network of transcriptomic signatures identifies novel comorbidity mechanisms between schizophrenia and somatic disordersYoucheng Zhang, Vinay S Bharadhwaj, Alpha T Kodamullil, et al.
Frontiers in Genetics|June 17, 2021
Integrative Ranking of Enhancer Networks Facilitates the Discovery of Epigenetic Markers in CancerQi Wang, Yonghe Wu, Tim Vorberg, et al.
Pageof 8

Showing results (1-10 of 71) with videos related to

Sort By:
Pageof 8
Bioinformatics (Oxford, England)|June 16, 2023
Biologically informed variational autoencoders allow predictive modeling of genetic and drug-induced perturbationsDaria Doncevic, Carl Herrmann
BMC Bioinformatics|July 15, 2004
Clustering proteins from interaction networks for the prediction of cellular functionsChristine Brun, Carl Herrmann, Alain Guénoche
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 4, 2003
Connectivity distribution of spatial networksCarl Herrmann, Marc Barthélemy, Paolo Provero
Bioinformatics (Oxford, England)|September 25, 2009
SimCT: a generic tool to visualize ontology-based relationships for biological objectsCarl Herrmann, Sèverine Bérard, Laurent Tichit
Frontiers in Genetics|June 20, 2015
PrOnto database : GO term functional dissimilarity inferred from biological dataCharles E Chapple, Carl Herrmann, Christine Brun
Briefings in Bioinformatics|January 15, 2016
A comprehensive comparison of tools for differential ChIP-seq analysisSebastian Steinhauser, Nils Kurzawa, Roland Eils, et al.
Nucleic Acids Research|May 6, 2015
MapMyFlu: visualizing spatio-temporal relationships between related influenza sequencesNicholas Nolte, Nils Kurzawa, Roland Eils, et al.
Nucleic Acids Research|June 22, 2012
i-cisTarget: an integrative genomics method for the prediction of regulatory features and cis-regulatory modulesCarl Herrmann, Bram Van de Sande, Delphine Potier, et al.
Discover Mental Health|April 4, 2024
A network of transcriptomic signatures identifies novel comorbidity mechanisms between schizophrenia and somatic disordersYoucheng Zhang, Vinay S Bharadhwaj, Alpha T Kodamullil, et al.
Frontiers in Genetics|June 17, 2021
Integrative Ranking of Enhancer Networks Facilitates the Discovery of Epigenetic Markers in CancerQi Wang, Yonghe Wu, Tim Vorberg, et al.
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