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

Cui-Na Jiao

Showing results (1-10 of 16) with videos related to

Pageof 2
Sort By:
IEEE Journal of Biomedical and Health Informatics|September 8, 2021
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank RepresentationCui-Na Jiao, Jin-Xing Liu, Juan Wang, et al.
IEEE Journal of Biomedical and Health Informatics|February 23, 2020
Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor ClassificationCui-Na Jiao, Ying-Lian Gao, Na Yu, et al.
IEEE Journal of Biomedical and Health Informatics|June 4, 2024
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy WeightsQi Zhong, Junliang Shang, Qianqian Ren, et al.
Magma (New York, N.Y.)|May 14, 2026
superLPNet: a super lightweight parameter deep learning model for brain age estimation from structural MRITianyu Sun, Xinyao Zhao, Qiang Zheng, et al.
BMC Bioinformatics|November 28, 2021
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associationsFeng Zhou, Meng-Meng Yin, Cui-Na Jiao, et al.
IEEE Journal of Biomedical and Health Informatics|April 3, 2024
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal DataTian-Ru Wu, Cui-Na Jiao, Xinchun Cui, et al.
IEEE Journal of Biomedical and Health Informatics|April 25, 2025
TEMCL: Prediction of Drug-disease Associations Based on Transformer and Enhanced Multi-view Contrastive LearningMing-Li Cui, Cui-Na Jiao, Ying-Lian Gao, et al.
IEEE Journal of Biomedical and Health Informatics|December 6, 2023
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association PredictionCui-Na Jiao, Feng Zhou, Bao-Min Liu, et al.
IEEE Transactions on Computational Biology and Bioinformatics|July 1, 2026
Exploring Complex Genetic Mechanisms in Brain Imaging Genetics via a New Multi-task Learning MethodYiming Wang, Cui-Na Jiao, Ying-Lian Gao, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 3, 2021
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel LearningFeng Zhou, Meng-Meng Yin, Cui-Na Jiao, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
IEEE Journal of Biomedical and Health Informatics|September 8, 2021
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank RepresentationCui-Na Jiao, Jin-Xing Liu, Juan Wang, et al.
IEEE Journal of Biomedical and Health Informatics|February 23, 2020
Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor ClassificationCui-Na Jiao, Ying-Lian Gao, Na Yu, et al.
IEEE Journal of Biomedical and Health Informatics|June 4, 2024
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy WeightsQi Zhong, Junliang Shang, Qianqian Ren, et al.
Magma (New York, N.Y.)|May 14, 2026
superLPNet: a super lightweight parameter deep learning model for brain age estimation from structural MRITianyu Sun, Xinyao Zhao, Qiang Zheng, et al.
BMC Bioinformatics|November 28, 2021
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associationsFeng Zhou, Meng-Meng Yin, Cui-Na Jiao, et al.
IEEE Journal of Biomedical and Health Informatics|April 3, 2024
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal DataTian-Ru Wu, Cui-Na Jiao, Xinchun Cui, et al.
IEEE Journal of Biomedical and Health Informatics|April 25, 2025
TEMCL: Prediction of Drug-disease Associations Based on Transformer and Enhanced Multi-view Contrastive LearningMing-Li Cui, Cui-Na Jiao, Ying-Lian Gao, et al.
IEEE Journal of Biomedical and Health Informatics|December 6, 2023
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association PredictionCui-Na Jiao, Feng Zhou, Bao-Min Liu, et al.
IEEE Transactions on Computational Biology and Bioinformatics|July 1, 2026
Exploring Complex Genetic Mechanisms in Brain Imaging Genetics via a New Multi-task Learning MethodYiming Wang, Cui-Na Jiao, Ying-Lian Gao, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 3, 2021
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel LearningFeng Zhou, Meng-Meng Yin, Cui-Na Jiao, et al.
Pageof 2