Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis. - Peng Guo; Bo Zhu; Hong Niu; Zezhao Wang; Yonghu Liang; Yan Chen; Lupei Zhang; Hemin Ni; Yong Guo; El Hamidi A. Hay; Xue Gao; Huijiang Gao; et al. (BMC Bioinform., 2018)

KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency. - Bingxing An; Mang Liang; Tianpeng Chang; Xinghai Duan; Lili Du; Lingyang Xu; Lupei Zhang; Xue Gao; Junya Li; Huijiang Gao (Briefings Bioinform., 2021)

MAK: a machine learning framework improved genomic prediction via multi-target ensemble regressor chains and automatic selection of assistant traits. - Mang Liang; Sheng Cao; Tianyu Deng; Lili Du; Keanning Li; Bingxing An; Yueying Du; Lingyang Xu; Lupei Zhang; Xue Gao; Junya Li; Peng Guo; et al. (Briefings Bioinform., 2023)