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

Trevor S Frisby

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Proteins|June 20, 2023
Identifying promising sequences for protein engineering using a deep transformer protein language modelTrevor S Frisby, Christopher James Langmead
Algorithms for Molecular Biology : AMB|July 2, 2021
Bayesian optimization with evolutionary and structure-based regularization for directed protein evolutionTrevor S Frisby, Christopher James Langmead
Bioinformatics (Oxford, England)|July 12, 2021
Asynchronous parallel Bayesian optimization for AI-driven cloud laboratoriesTrevor S Frisby, Zhiyun Gong, Christopher James Langmead
BMC Bioinformatics|April 2, 2021
HARVESTMAN: a framework for hierarchical feature learning and selection from whole genome sequencing dataTrevor S Frisby, Shawn J Baker, Guillaume Marçais, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Proteins|June 20, 2023
Identifying promising sequences for protein engineering using a deep transformer protein language modelTrevor S Frisby, Christopher James Langmead
Algorithms for Molecular Biology : AMB|July 2, 2021
Bayesian optimization with evolutionary and structure-based regularization for directed protein evolutionTrevor S Frisby, Christopher James Langmead
Bioinformatics (Oxford, England)|July 12, 2021
Asynchronous parallel Bayesian optimization for AI-driven cloud laboratoriesTrevor S Frisby, Zhiyun Gong, Christopher James Langmead
BMC Bioinformatics|April 2, 2021
HARVESTMAN: a framework for hierarchical feature learning and selection from whole genome sequencing dataTrevor S Frisby, Shawn J Baker, Guillaume Marçais, et al.
Pageof 1