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

Yahui Long

Showing results (21-30 of 24) with videos related to

Pageof 3
Sort By:
You have reached the last page of results.This site can display upto 24 results.
Bioinformatics (Oxford, England)|February 16, 2022
Pre-training graph neural networks for link prediction in biomedical networksYahui Long, Min Wu, Yong Liu, et al.
Genome Medicine|January 12, 2024
Unsupervised spatially embedded deep representation of spatial transcriptomicsHang Xu, Huazhu Fu, Yahui Long, et al.
Nature Communications|March 1, 2023
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphSTYahui Long, Kok Siong Ang, Mengwei Li, et al.
Nature Methods|June 21, 2024
Deciphering spatial domains from spatial multi-omics with SpatialGlueYahui Long, Kok Siong Ang, Raman Sethi, et al.
Pageof 3

Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
Bioinformatics (Oxford, England)|February 16, 2022
Pre-training graph neural networks for link prediction in biomedical networksYahui Long, Min Wu, Yong Liu, et al.
Genome Medicine|January 12, 2024
Unsupervised spatially embedded deep representation of spatial transcriptomicsHang Xu, Huazhu Fu, Yahui Long, et al.
Nature Communications|March 1, 2023
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphSTYahui Long, Kok Siong Ang, Mengwei Li, et al.
Nature Methods|June 21, 2024
Deciphering spatial domains from spatial multi-omics with SpatialGlueYahui Long, Kok Siong Ang, Raman Sethi, et al.
Pageof 3