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

Tian-Jing Qiao

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

Pageof 1
Sort By:
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 17, 2024
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data ClusteringTian-Jing Qiao, Feng Li, Sha-Sha Yuan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 12, 2024
A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type IdentificationJuan Wang, Tian-Jing Qiao, Chun-Hou Zheng, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data AnalysisTian-Jing Qiao, Jin-Xing Liu, Junliang Shang, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 17, 2024
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data ClusteringTian-Jing Qiao, Feng Li, Sha-Sha Yuan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 12, 2024
A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type IdentificationJuan Wang, Tian-Jing Qiao, Chun-Hou Zheng, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data AnalysisTian-Jing Qiao, Jin-Xing Liu, Junliang Shang, et al.
Pageof 1