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

Marco Grzegorczyk

Showing results (1-10 of 25) with videos related to

Pageof 3
Sort By:
Journal of Toxicology and Environmental Health. Part A|June 24, 2008
Comparison of two different stochastic models for extracting protein regulatory pathways using Bayesian networksMarco Grzegorczyk
Methods in Molecular Biology (Clifton, N.J.)|September 9, 2010
An introduction to Gaussian Bayesian networksMarco Grzegorczyk
Proteomics|September 26, 2007
Extracting protein regulatory networks with graphical modelsMarco Grzegorczyk
Statistical Applications in Genetics and Molecular Biology|August 2, 2012
A non-homogeneous dynamic Bayesian network with sequentially coupled interaction parameters for applications in systems and synthetic biologyMarco Grzegorczyk, Dirk Husmeier
Journal of Applied Statistics|March 25, 2024
Learning the structure of the mTOR protein signaling pathway from protein phosphorylation dataAbdul Salam, Marco Grzegorczyk
Bioinformatics (Oxford, England)|December 24, 2010
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genesMarco Grzegorczyk, Dirk Husmeier
BMC Bioinformatics|April 27, 2021
A new Bayesian piecewise linear regression model for dynamic network reconstructionMahdi Shafiee Kamalabad, Marco Grzegorczyk
Bioinformatics (Oxford, England)|September 11, 2019
Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parametersMahdi Shafiee Kamalabad, Marco Grzegorczyk
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
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Journal of Toxicology and Environmental Health. Part A|June 24, 2008
Comparison of two different stochastic models for extracting protein regulatory pathways using Bayesian networksMarco Grzegorczyk
Methods in Molecular Biology (Clifton, N.J.)|September 9, 2010
An introduction to Gaussian Bayesian networksMarco Grzegorczyk
Proteomics|September 26, 2007
Extracting protein regulatory networks with graphical modelsMarco Grzegorczyk
Statistical Applications in Genetics and Molecular Biology|August 2, 2012
A non-homogeneous dynamic Bayesian network with sequentially coupled interaction parameters for applications in systems and synthetic biologyMarco Grzegorczyk, Dirk Husmeier
Journal of Applied Statistics|March 25, 2024
Learning the structure of the mTOR protein signaling pathway from protein phosphorylation dataAbdul Salam, Marco Grzegorczyk
Bioinformatics (Oxford, England)|December 24, 2010
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genesMarco Grzegorczyk, Dirk Husmeier
BMC Bioinformatics|April 27, 2021
A new Bayesian piecewise linear regression model for dynamic network reconstructionMahdi Shafiee Kamalabad, Marco Grzegorczyk
Bioinformatics (Oxford, England)|September 11, 2019
Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parametersMahdi Shafiee Kamalabad, Marco Grzegorczyk
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
Pageof 3