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

Yangjun Wen

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

Pageof 1
Sort By:
Frontiers in Genetics|May 13, 2021
AGNEP: An Agglomerative Nesting Clustering Algorithm for Phenotypic Dimension Reduction in Joint Analysis of Multiple PhenotypesFengrong Liu, Ziyang Zhou, Mingzhi Cai, et al.
Frontiers in Plant Science|November 29, 2023
Improving power of genome-wide association studies via transforming ordinal phenotypes into continuous phenotypesMing Yang, Yangjun Wen, Jinchang Zheng, et al.
Frontiers in Plant Science|November 3, 2022
Identification of QTNs, QTN-by-environment interactions and genes for yield-related traits in rice using 3VmrMLMJin Zhang, Shengmeng Wang, Xinyi Wu, et al.
Plants (Basel, Switzerland)|September 14, 2024
An Extended Application of the Fast Multi-Locus Ridge Regression Algorithm in Genome-Wide Association Studies of Categorical PhenotypesJin Zhang, Bolin Shen, Ziyang Zhou, et al.
Frontiers in Genetics|April 15, 2021
A Fast Multi-Locus Ridge Regression Algorithm for High-Dimensional Genome-Wide Association StudiesJin Zhang, Min Chen, Yangjun Wen, et al.
Plant Methods|March 13, 2026
Integrated single marker scanning and sparse Bayesian learning improves performance of detection for GWASJin Zhang, Zhenghan Wu, Mingzhi Cai, et al.
Plants (Basel, Switzerland)|October 14, 2022
Genetic Dissection of Epistatic Interactions Contributing Yield-Related Agronomic Traits in Rice Using the Compressed Mixed ModelLing Li, Xinyi Wu, Juncong Chen, et al.
Scientific Reports|December 4, 2019
TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studiesJiali Sun, Qingtai Wu, Dafeng Shen, et al.
Pageof 1

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

Sort By:
Pageof 1
Frontiers in Genetics|May 13, 2021
AGNEP: An Agglomerative Nesting Clustering Algorithm for Phenotypic Dimension Reduction in Joint Analysis of Multiple PhenotypesFengrong Liu, Ziyang Zhou, Mingzhi Cai, et al.
Frontiers in Plant Science|November 29, 2023
Improving power of genome-wide association studies via transforming ordinal phenotypes into continuous phenotypesMing Yang, Yangjun Wen, Jinchang Zheng, et al.
Frontiers in Plant Science|November 3, 2022
Identification of QTNs, QTN-by-environment interactions and genes for yield-related traits in rice using 3VmrMLMJin Zhang, Shengmeng Wang, Xinyi Wu, et al.
Plants (Basel, Switzerland)|September 14, 2024
An Extended Application of the Fast Multi-Locus Ridge Regression Algorithm in Genome-Wide Association Studies of Categorical PhenotypesJin Zhang, Bolin Shen, Ziyang Zhou, et al.
Frontiers in Genetics|April 15, 2021
A Fast Multi-Locus Ridge Regression Algorithm for High-Dimensional Genome-Wide Association StudiesJin Zhang, Min Chen, Yangjun Wen, et al.
Plant Methods|March 13, 2026
Integrated single marker scanning and sparse Bayesian learning improves performance of detection for GWASJin Zhang, Zhenghan Wu, Mingzhi Cai, et al.
Plants (Basel, Switzerland)|October 14, 2022
Genetic Dissection of Epistatic Interactions Contributing Yield-Related Agronomic Traits in Rice Using the Compressed Mixed ModelLing Li, Xinyi Wu, Juncong Chen, et al.
Scientific Reports|December 4, 2019
TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studiesJiali Sun, Qingtai Wu, Dafeng Shen, et al.
Pageof 1