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

Jiangguo Qiu

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Journal of Chemical Information and Modeling|August 21, 2023
HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information NetworkJian He, Menglong Li, Jiangguo Qiu, et al.
Molecules (Basel, Switzerland)|April 14, 2026
A Contrastive-Learning-Based Pre-Training Framework for Optical Property Prediction of Low-Data Rhodamines with Interpretable Multitask Graph Neural NetworksJiangguo Qiu, Yanling Wu, Hong Zhang, et al.
Journal of Pharmaceutical Analysis|September 22, 2025
An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graphJian He, Yanling Wu, Linxi Yuan, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Journal of Chemical Information and Modeling|August 21, 2023
HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information NetworkJian He, Menglong Li, Jiangguo Qiu, et al.
Molecules (Basel, Switzerland)|April 14, 2026
A Contrastive-Learning-Based Pre-Training Framework for Optical Property Prediction of Low-Data Rhodamines with Interpretable Multitask Graph Neural NetworksJiangguo Qiu, Yanling Wu, Hong Zhang, et al.
Journal of Pharmaceutical Analysis|September 22, 2025
An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graphJian He, Yanling Wu, Linxi Yuan, et al.
Pageof 1