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Dirk Husmeier

Showing results (21-30 of 67) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Overview and Evaluation of Recent Methods for Statistical Inference of Gene Regulatory Networks from Time Series DataMarco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Statistical Applications in Genetics and Molecular Biology|May 28, 2014
Statistical inference of regulatory networks for circadian regulationAndrej Aderhold, Dirk Husmeier, Marco Grzegorczyk
Bioinformatics (Oxford, England)|December 2, 2004
Detecting interspecific recombination with a pruned probabilistic divergence measureDirk Husmeier, Frank Wright, Iain Milne
Methods in Molecular Biology (Clifton, N.J.)|December 2, 2011
Nonhomogeneous dynamic Bayesian networks in systems biologySophie Lèbre, Frank Dondelinger, Dirk Husmeier
Advances in Bioinformatics|August 20, 2010
Modelling nonstationary gene regulatory processesMarco Grzegorcyzk, Dirk Husmeier, Jörg Rahnenführer
Bioinformatics (Oxford, England)|July 18, 2006
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networksAdriano V Werhli, Marco Grzegorczyk, Dirk Husmeier
International Journal for Numerical Methods in Biomedical Engineering|March 18, 2022
Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricleAgnieszka Borowska, Hao Gao, Alan Lazarus, et al.
Movement Ecology|February 19, 2021
A hierarchical machine learning framework for the analysis of large scale animal movement dataColin J Torney, Juan M Morales, Dirk Husmeier
Biomechanics and Modeling in Mechanobiology|April 4, 2022
Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanicsAlan Lazarus, David Dalton, Dirk Husmeier, et al.
Computational Statistics|July 15, 2025
Approximate Bayesian inference in a model for self-generated gradient collective cell movementJon Devlin, Agnieszka Borowska, Dirk Husmeier, et al.
Pageof 7

Showing results (21-30 of 67) with videos related to

Sort By:
Pageof 7
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Overview and Evaluation of Recent Methods for Statistical Inference of Gene Regulatory Networks from Time Series DataMarco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Statistical Applications in Genetics and Molecular Biology|May 28, 2014
Statistical inference of regulatory networks for circadian regulationAndrej Aderhold, Dirk Husmeier, Marco Grzegorczyk
Bioinformatics (Oxford, England)|December 2, 2004
Detecting interspecific recombination with a pruned probabilistic divergence measureDirk Husmeier, Frank Wright, Iain Milne
Methods in Molecular Biology (Clifton, N.J.)|December 2, 2011
Nonhomogeneous dynamic Bayesian networks in systems biologySophie Lèbre, Frank Dondelinger, Dirk Husmeier
Advances in Bioinformatics|August 20, 2010
Modelling nonstationary gene regulatory processesMarco Grzegorcyzk, Dirk Husmeier, Jörg Rahnenführer
Bioinformatics (Oxford, England)|July 18, 2006
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networksAdriano V Werhli, Marco Grzegorczyk, Dirk Husmeier
International Journal for Numerical Methods in Biomedical Engineering|March 18, 2022
Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricleAgnieszka Borowska, Hao Gao, Alan Lazarus, et al.
Movement Ecology|February 19, 2021
A hierarchical machine learning framework for the analysis of large scale animal movement dataColin J Torney, Juan M Morales, Dirk Husmeier
Biomechanics and Modeling in Mechanobiology|April 4, 2022
Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanicsAlan Lazarus, David Dalton, Dirk Husmeier, et al.
Computational Statistics|July 15, 2025
Approximate Bayesian inference in a model for self-generated gradient collective cell movementJon Devlin, Agnieszka Borowska, Dirk Husmeier, et al.
Pageof 7