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

Jinhao Que

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Briefings in Bioinformatics|February 24, 2026
Systematic evaluation of computational methods for cell segmentationRongrong Yang, Guangfu Xue, Zuxiang Wang, et al.
Briefings in Bioinformatics|March 17, 2026
AI-driven computational methods and benchmarking for T-cell antigen identificationYang Deng, Jinhao Que, Guangfu Xue, et al.
Molecular Therapy. Nucleic Acids|April 25, 2023
Identification of shared characteristics in tumor-infiltrating T cells across 15 cancersXiyun Jin, Yideng Cai, Guangfu Xue, et al.
Cancer Research|March 27, 2024
The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral BloodYideng Cai, Meng Luo, Wenyi Yang, et al.
Bioinformatics (Oxford, England)|September 23, 2023
DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing dataWenyi Yang, Pingping Wang, Meng Luo, et al.
Genome Biology|September 9, 2024
Dimension reduction, cell clustering, and cell-cell communication inference for single-cell transcriptomics with DcjCommQian Ding, Wenyi Yang, Guangfu Xue, et al.
Briefings in Bioinformatics|July 10, 2025
TriCLFF: a multi-modal feature fusion framework using contrastive learning for spatial domain identificationFenglan Pang, Guangfu Xue, Wenyi Yang, et al.
Nature Communications|August 18, 2024
Deciphering cell-cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention networkWenyi Yang, Pingping Wang, Shouping Xu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Briefings in Bioinformatics|February 24, 2026
Systematic evaluation of computational methods for cell segmentationRongrong Yang, Guangfu Xue, Zuxiang Wang, et al.
Briefings in Bioinformatics|March 17, 2026
AI-driven computational methods and benchmarking for T-cell antigen identificationYang Deng, Jinhao Que, Guangfu Xue, et al.
Molecular Therapy. Nucleic Acids|April 25, 2023
Identification of shared characteristics in tumor-infiltrating T cells across 15 cancersXiyun Jin, Yideng Cai, Guangfu Xue, et al.
Cancer Research|March 27, 2024
The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral BloodYideng Cai, Meng Luo, Wenyi Yang, et al.
Bioinformatics (Oxford, England)|September 23, 2023
DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing dataWenyi Yang, Pingping Wang, Meng Luo, et al.
Genome Biology|September 9, 2024
Dimension reduction, cell clustering, and cell-cell communication inference for single-cell transcriptomics with DcjCommQian Ding, Wenyi Yang, Guangfu Xue, et al.
Briefings in Bioinformatics|July 10, 2025
TriCLFF: a multi-modal feature fusion framework using contrastive learning for spatial domain identificationFenglan Pang, Guangfu Xue, Wenyi Yang, et al.
Nature Communications|August 18, 2024
Deciphering cell-cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention networkWenyi Yang, Pingping Wang, Shouping Xu, et al.
Pageof 1