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

Wanwen Zeng

Showing results (11-20 of 21) with videos related to

Pageof 3
Sort By:
Methods (San Diego, Calif.)|June 7, 2018
Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learningMengmeng Wu, Wanwen Zeng, Wenqiang Liu, et al.
Bioinformatics Advances|February 27, 2023
Applications of transformer-based language models in bioinformatics: a surveyShuang Zhang, Rui Fan, Yuti Liu, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions predictionQijin Yin, Rui Fan, Xusheng Cao, et al.
Database : the Journal of Biological Databases and Curation|March 19, 2016
dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictionsJiaxin Wu, Mengmeng Wu, Lianshuo Li, et al.
Nucleic Acids Research|October 12, 2020
SilencerDB: a comprehensive database of silencersWanwen Zeng, Shengquan Chen, Xuejian Cui, et al.
Nature Communications|October 12, 2019
DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics dataWanwen Zeng, Xi Chen, Zhana Duren, et al.
Briefings in Bioinformatics|December 2, 2022
Deep generative modeling and clustering of single cell Hi-C dataQiao Liu, Wanwen Zeng, Wei Zhang, et al.
Bioinformatics (Oxford, England)|April 8, 2022
scGraph: a graph neural network-based approach to automatically identify cell typesQijin Yin, Qiao Liu, Zhuoran Fu, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 11, 2018
Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizationsZhana Duren, Xi Chen, Mahdi Zamanighomi, et al.
Nature Communications|May 17, 2025
CREATE: cell-type-specific cis-regulatory element identification via discrete embeddingXuejian Cui, Qijin Yin, Zijing Gao, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Methods (San Diego, Calif.)|June 7, 2018
Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learningMengmeng Wu, Wanwen Zeng, Wenqiang Liu, et al.
Bioinformatics Advances|February 27, 2023
Applications of transformer-based language models in bioinformatics: a surveyShuang Zhang, Rui Fan, Yuti Liu, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions predictionQijin Yin, Rui Fan, Xusheng Cao, et al.
Database : the Journal of Biological Databases and Curation|March 19, 2016
dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictionsJiaxin Wu, Mengmeng Wu, Lianshuo Li, et al.
Nucleic Acids Research|October 12, 2020
SilencerDB: a comprehensive database of silencersWanwen Zeng, Shengquan Chen, Xuejian Cui, et al.
Nature Communications|October 12, 2019
DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics dataWanwen Zeng, Xi Chen, Zhana Duren, et al.
Briefings in Bioinformatics|December 2, 2022
Deep generative modeling and clustering of single cell Hi-C dataQiao Liu, Wanwen Zeng, Wei Zhang, et al.
Bioinformatics (Oxford, England)|April 8, 2022
scGraph: a graph neural network-based approach to automatically identify cell typesQijin Yin, Qiao Liu, Zhuoran Fu, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 11, 2018
Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizationsZhana Duren, Xi Chen, Mahdi Zamanighomi, et al.
Nature Communications|May 17, 2025
CREATE: cell-type-specific cis-regulatory element identification via discrete embeddingXuejian Cui, Qijin Yin, Zijing Gao, et al.
Pageof 3