Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Dirk Husmeier

Showing results (11-20 of 67) with videos related to

Pageof 7
Sort By:
Statistical Applications in Genetics and Molecular Biology|December 4, 2008
Addressing the shortcomings of three recent Bayesian methods for detecting interspecific recombination in DNA sequence alignmentsDirk Husmeier, Alexander V Mantzaris
International Journal for Numerical Methods in Biomedical Engineering|November 29, 2020
Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid-dynamics model of the pulmonary circulationL Mihaela Paun, Dirk Husmeier
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFLJohn G. Taylor, Dirk Husmeier
Journal of Bioinformatics and Computational Biology|June 25, 2008
Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditionsAdriano V Werhli, Dirk Husmeier
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|October 24, 2007
Bayesian integration of biological prior knowledge into the reconstruction of gene regulatory networks with Bayesian networksDirk Husmeier, Adriano V Werhli
BMC Bioinformatics|November 26, 2013
A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thalianaCatherine F Higham, Dirk Husmeier
Statistical Applications in Genetics and Molecular Biology|June 5, 2007
Reconstructing gene regulatory networks with bayesian networks by combining expression data with multiple sources of prior knowledgeAdriano V Werhli, Dirk Husmeier
Computational Statistics|February 28, 2020
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integrationMarco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Statistical Applications in Genetics and Molecular Biology|February 27, 2015
Inferring bi-directional interactions between circadian clock genes and metabolism with model ensemblesMarco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Statistics and Computing|April 1, 2020
Approximate Bayesian inference in semi-mechanistic modelsAndrej Aderhold, Dirk Husmeier, Marco Grzegorczyk
Pageof 7

Showing results (11-20 of 67) with videos related to

Sort By:
Pageof 7
Statistical Applications in Genetics and Molecular Biology|December 4, 2008
Addressing the shortcomings of three recent Bayesian methods for detecting interspecific recombination in DNA sequence alignmentsDirk Husmeier, Alexander V Mantzaris
International Journal for Numerical Methods in Biomedical Engineering|November 29, 2020
Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid-dynamics model of the pulmonary circulationL Mihaela Paun, Dirk Husmeier
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFLJohn G. Taylor, Dirk Husmeier
Journal of Bioinformatics and Computational Biology|June 25, 2008
Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditionsAdriano V Werhli, Dirk Husmeier
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|October 24, 2007
Bayesian integration of biological prior knowledge into the reconstruction of gene regulatory networks with Bayesian networksDirk Husmeier, Adriano V Werhli
BMC Bioinformatics|November 26, 2013
A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thalianaCatherine F Higham, Dirk Husmeier
Statistical Applications in Genetics and Molecular Biology|June 5, 2007
Reconstructing gene regulatory networks with bayesian networks by combining expression data with multiple sources of prior knowledgeAdriano V Werhli, Dirk Husmeier
Computational Statistics|February 28, 2020
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integrationMarco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Statistical Applications in Genetics and Molecular Biology|February 27, 2015
Inferring bi-directional interactions between circadian clock genes and metabolism with model ensemblesMarco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Statistics and Computing|April 1, 2020
Approximate Bayesian inference in semi-mechanistic modelsAndrej Aderhold, Dirk Husmeier, Marco Grzegorczyk
Pageof 7