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

David Buterez

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Scientific Reports|October 16, 2021
Scaling up DNA digital data storage by efficiently predicting DNA hybridisation using deep learningDavid Buterez
Journal of Chemical Information and Modeling|April 14, 2023
MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine LearningDavid Buterez, Jon Paul Janet, Steven J Kiddle, et al.
Bioinformatics (Oxford, England)|December 5, 2021
CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networksDavid Buterez, Ioana Bica, Ifrah Tariq, et al.
Nature Communications|February 26, 2024
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity settingDavid Buterez, Jon Paul Janet, Steven J Kiddle, et al.
Communications Chemistry|November 29, 2023
Modelling local and general quantum mechanical properties with attention-based poolingDavid Buterez, Jon Paul Janet, Steven J Kiddle, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|October 16, 2021
Scaling up DNA digital data storage by efficiently predicting DNA hybridisation using deep learningDavid Buterez
Journal of Chemical Information and Modeling|April 14, 2023
MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine LearningDavid Buterez, Jon Paul Janet, Steven J Kiddle, et al.
Bioinformatics (Oxford, England)|December 5, 2021
CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networksDavid Buterez, Ioana Bica, Ifrah Tariq, et al.
Nature Communications|February 26, 2024
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity settingDavid Buterez, Jon Paul Janet, Steven J Kiddle, et al.
Communications Chemistry|November 29, 2023
Modelling local and general quantum mechanical properties with attention-based poolingDavid Buterez, Jon Paul Janet, Steven J Kiddle, et al.
Pageof 1