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

Kyu Hyong Park

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
NPJ Systems Biology and Applications|April 17, 2026
Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networksKyu Hyong Park, Réka Albert
NPJ Systems Biology and Applications|June 16, 2025
Automated model refinement using perturbation-observation pairsKyu Hyong Park, Jordan C Rozum, Réka Albert
Bioinformatics (Oxford, England)|May 6, 2025
Mapping the attractor landscape of Boolean networks with biobalmVan-Giang Trinh, Kyu Hyong Park, Samuel Pastva, et al.
Journal of Mathematical Biology|June 12, 2025
An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks?Samuel Pastva, Kyu Hyong Park, Ondřej Huvar, et al.
Plos Biology|May 1, 2024
A network-based modeling framework reveals the core signal transduction network underlying high carbon dioxide-induced stomatal closure in guard cellsXiao Gan, Palanivelu Sengottaiyan, Kyu Hyong Park, et al.
Bioinformatics (Oxford, England)|December 7, 2021
pystablemotifs: Python library for attractor identification and control in Boolean networksJordan C Rozum, Dávid Deritei, Kyu Hyong Park, et al.
PRX Life|March 15, 2024
Models of Cell Processes are Far from the Edge of ChaosKyu Hyong Park, Felipe Xavier Costa, Luis M Rocha, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
NPJ Systems Biology and Applications|April 17, 2026
Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networksKyu Hyong Park, Réka Albert
NPJ Systems Biology and Applications|June 16, 2025
Automated model refinement using perturbation-observation pairsKyu Hyong Park, Jordan C Rozum, Réka Albert
Bioinformatics (Oxford, England)|May 6, 2025
Mapping the attractor landscape of Boolean networks with biobalmVan-Giang Trinh, Kyu Hyong Park, Samuel Pastva, et al.
Journal of Mathematical Biology|June 12, 2025
An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks?Samuel Pastva, Kyu Hyong Park, Ondřej Huvar, et al.
Plos Biology|May 1, 2024
A network-based modeling framework reveals the core signal transduction network underlying high carbon dioxide-induced stomatal closure in guard cellsXiao Gan, Palanivelu Sengottaiyan, Kyu Hyong Park, et al.
Bioinformatics (Oxford, England)|December 7, 2021
pystablemotifs: Python library for attractor identification and control in Boolean networksJordan C Rozum, Dávid Deritei, Kyu Hyong Park, et al.
PRX Life|March 15, 2024
Models of Cell Processes are Far from the Edge of ChaosKyu Hyong Park, Felipe Xavier Costa, Luis M Rocha, et al.
Pageof 1