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Guy Karlebach

Showing results (1-10 of 23) with videos related to

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EURASIP Journal on Bioinformatics & Systems Biology|September 7, 2013
Inferring Boolean network states from partial informationGuy Karlebach
Nature Reviews. Molecular Cell Biology|September 18, 2008
Modelling and analysis of gene regulatory networksGuy Karlebach, Ron Shamir
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|April 13, 2015
Lateralization of gene expression in human language cortexGuy Karlebach, Clyde Francks
BMC Systems Biology|February 27, 2010
Minimally perturbing a gene regulatory network to avoid a disease phenotype: the glioma network as a test caseGuy Karlebach, Ron Shamir
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 6, 2012
Constructing logical models of gene regulatory networks by integrating transcription factor-DNA interactions with expression data: an entropy-based approachGuy Karlebach, Ron Shamir
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 27, 2023
Computing Minimal Boolean Models of Gene Regulatory NetworksGuy Karlebach, Peter N Robinson
NAR Genomics and Bioinformatics|December 11, 2024
IsopretGO-analysing and visualizing the functional consequences of differential splicingGuy Karlebach, Peter Hansen, Kristin Köhler, et al.
Genes|July 21, 2019
Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C DataPeter Hansen, Michael Gargano, Jochen Hecht, et al.
NPJ Genomic Medicine|November 4, 2024
Alternative splicing is coupled to gene expression in a subset of variably expressed genesGuy Karlebach, Robin Steinhaus, Daniel Danis, et al.
NAR Genomics and Bioinformatics|December 11, 2024
Using paired-end read orientations to assess technical biases in capture Hi-CPeter Hansen, Hannah Blau, Jochen Hecht, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
EURASIP Journal on Bioinformatics & Systems Biology|September 7, 2013
Inferring Boolean network states from partial informationGuy Karlebach
Nature Reviews. Molecular Cell Biology|September 18, 2008
Modelling and analysis of gene regulatory networksGuy Karlebach, Ron Shamir
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|April 13, 2015
Lateralization of gene expression in human language cortexGuy Karlebach, Clyde Francks
BMC Systems Biology|February 27, 2010
Minimally perturbing a gene regulatory network to avoid a disease phenotype: the glioma network as a test caseGuy Karlebach, Ron Shamir
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 6, 2012
Constructing logical models of gene regulatory networks by integrating transcription factor-DNA interactions with expression data: an entropy-based approachGuy Karlebach, Ron Shamir
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 27, 2023
Computing Minimal Boolean Models of Gene Regulatory NetworksGuy Karlebach, Peter N Robinson
NAR Genomics and Bioinformatics|December 11, 2024
IsopretGO-analysing and visualizing the functional consequences of differential splicingGuy Karlebach, Peter Hansen, Kristin Köhler, et al.
Genes|July 21, 2019
Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C DataPeter Hansen, Michael Gargano, Jochen Hecht, et al.
NPJ Genomic Medicine|November 4, 2024
Alternative splicing is coupled to gene expression in a subset of variably expressed genesGuy Karlebach, Robin Steinhaus, Daniel Danis, et al.
NAR Genomics and Bioinformatics|December 11, 2024
Using paired-end read orientations to assess technical biases in capture Hi-CPeter Hansen, Hannah Blau, Jochen Hecht, et al.
Pageof 3