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Frontiers in Plant Science|January 23, 2024
Compressed variance component mixed model reveals epistasis associated with flowering in ArabidopsisLe Han, Bolin Shen, Xinyi Wu, et al.
Heredity|December 14, 2017
pKWmEB: integration of Kruskal-Wallis test with empirical Bayes under polygenic background control for multi-locus genome-wide association studyWen-Long Ren, Yang-Jun Wen, Jim M Dunwell, et al.
Computational and Structural Biotechnology Journal|January 1, 2020
QTL.gCIMapping.GUI v2.0: An R software for detecting small-effect and linked QTLs for quantitative traits in bi-parental segregation populationsYa-Wen Zhang, Yang-Jun Wen, Jim M Dunwell, et al.
Frontiers in Plant Science|March 6, 2023
Identification of QTN-by-environment interactions for yield related traits in maize under multiple abiotic stressesYang-Jun Wen, Xinyi Wu, Shengmeng Wang, et al.
Briefings in Bioinformatics|July 23, 2018
An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2Yang-Jun Wen, Ya-Wen Zhang, Jin Zhang, et al.
Scientific Reports|July 21, 2016
Mapping small-effect and linked quantitative trait loci for complex traits in backcross or DH populations via a multi-locus GWAS methodologyShi-Bo Wang, Yang-Jun Wen, Wen-Long Ren, et al.
Genomics, Proteomics & Bioinformatics|December 21, 2020
mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association StudiesYa-Wen Zhang, Cox Lwaka Tamba, Yang-Jun Wen, et al.
Scientific Reports|January 21, 2016
Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodologyShi-Bo Wang, Jian-Ying Feng, Wen-Long Ren, et al.
Briefings in Bioinformatics|February 4, 2017
Methodological implementation of mixed linear models in multi-locus genome-wide association studiesYang-Jun Wen, Hanwen Zhang, Yuan-Li Ni, et al.
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