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

Qiyiwen Zhang

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

Pageof 1
Sort By:
Biometrics|May 18, 2026
Knowledge-guided Bayesian biclustering model for omics data with noisy graphsQiyiwen Zhang, Wenrui Li, Suprateek Kundu, et al.
Briefings in Bioinformatics|December 7, 2023
Robust knowledge-guided biclustering for multi-omics dataQiyiwen Zhang, Changgee Chang, Qi Long
Statistics in Biosciences|July 22, 2025
Graph-guided Bayesian Factor Model for Integrative Analysis of Multi-modal Data with Noisy Network InformationWenrui Li, Qiyiwen Zhang, Kewen Qu, et al.
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD ... : Proceedings. ECML PKDD (Conference)|August 21, 2023
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and ReliabilityQiyiwen Zhang, Zhiqi Bu, Kan Chen, et al.
Biometrics|January 28, 2024
Incorporating graph information in Bayesian factor analysis with robust and adaptive shrinkage priorsQiyiwen Zhang, Changgee Chang, Li Shen, et al.
Statistics in Medicine|April 26, 2026
Simultaneous Representation Learning of Multi-Omics and Clinical Outcome Data via a Supervised Knowledge-Guided Bayesian Factor ModelQiyiwen Zhang, Changgee Chang, Chong Jin, et al.
Briefings in Bioinformatics|March 7, 2023
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysisJingxuan Bao, Changgee Chang, Qiyiwen Zhang, et al.
Experimental Hematology & Oncology|June 10, 2026
Multifactorial effects of LGALS1 blockade sensitize tumors to immune checkpoint inhibitorJessy John, Mohammad A I Al-Hatamleh, Monika Vashisht, et al.
Pageof 1

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

Sort By:
Pageof 1
Biometrics|May 18, 2026
Knowledge-guided Bayesian biclustering model for omics data with noisy graphsQiyiwen Zhang, Wenrui Li, Suprateek Kundu, et al.
Briefings in Bioinformatics|December 7, 2023
Robust knowledge-guided biclustering for multi-omics dataQiyiwen Zhang, Changgee Chang, Qi Long
Statistics in Biosciences|July 22, 2025
Graph-guided Bayesian Factor Model for Integrative Analysis of Multi-modal Data with Noisy Network InformationWenrui Li, Qiyiwen Zhang, Kewen Qu, et al.
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD ... : Proceedings. ECML PKDD (Conference)|August 21, 2023
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and ReliabilityQiyiwen Zhang, Zhiqi Bu, Kan Chen, et al.
Biometrics|January 28, 2024
Incorporating graph information in Bayesian factor analysis with robust and adaptive shrinkage priorsQiyiwen Zhang, Changgee Chang, Li Shen, et al.
Statistics in Medicine|April 26, 2026
Simultaneous Representation Learning of Multi-Omics and Clinical Outcome Data via a Supervised Knowledge-Guided Bayesian Factor ModelQiyiwen Zhang, Changgee Chang, Chong Jin, et al.
Briefings in Bioinformatics|March 7, 2023
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysisJingxuan Bao, Changgee Chang, Qiyiwen Zhang, et al.
Experimental Hematology & Oncology|June 10, 2026
Multifactorial effects of LGALS1 blockade sensitize tumors to immune checkpoint inhibitorJessy John, Mohammad A I Al-Hatamleh, Monika Vashisht, et al.
Pageof 1