Xue, Y.; Tang, X.; Zhu, X.; Zhang, R.; Yao, Y.; Cao, D.; He, W.; Liu, Q.; Luan, X.; Shu, Y.;
et al. Leveraging GWAS-Identified Markers in Combination with Bayesian and Machine Learning Models to Improve Genomic Selection in Soybean. Int. J. Mol. Sci. 2025, 26, 9586.
https://doi.org/10.3390/ijms26199586
AMA Style
Xue Y, Tang X, Zhu X, Zhang R, Yao Y, Cao D, He W, Liu Q, Luan X, Shu Y,
et al. Leveraging GWAS-Identified Markers in Combination with Bayesian and Machine Learning Models to Improve Genomic Selection in Soybean. International Journal of Molecular Sciences. 2025; 26(19):9586.
https://doi.org/10.3390/ijms26199586
Chicago/Turabian Style
Xue, Yongguo, Xiaofei Tang, Xiaoyue Zhu, Ruixin Zhang, Yubo Yao, Dan Cao, Wenjin He, Qi Liu, Xiaoyan Luan, Yongjun Shu,
and et al. 2025. "Leveraging GWAS-Identified Markers in Combination with Bayesian and Machine Learning Models to Improve Genomic Selection in Soybean" International Journal of Molecular Sciences 26, no. 19: 9586.
https://doi.org/10.3390/ijms26199586
APA Style
Xue, Y., Tang, X., Zhu, X., Zhang, R., Yao, Y., Cao, D., He, W., Liu, Q., Luan, X., Shu, Y., & Liu, X.
(2025). Leveraging GWAS-Identified Markers in Combination with Bayesian and Machine Learning Models to Improve Genomic Selection in Soybean. International Journal of Molecular Sciences, 26(19), 9586.
https://doi.org/10.3390/ijms26199586
