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收藏MAK: a machine learning framework improved genomic prediction via multi-target ensemble regressor chains and automatic selection of assistant traits
Liang, Mang; Cao, Sheng; Deng, Tianyu; Du, Lili; Li, Keanning; An, Bingxing; Du, Yueying; Xu, Lingyang; Zhang, Lupei; Gao, Xue; Li, Junya; Guo, Peng; Gao, Huijiang 分享 收藏 Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters OptimizationLiang, Mang; An, Bingxing; Li, Keanning; Du, Lili; Deng, Tianyu; Cao, Sheng; Du, Yueying; Xu, Lingyang; Gao, Xue; Zhang, Lupei; Li, Junya; Gao, Huijiang 分享 收藏 Incorporating kernelized multi-omics data improves the accuracy of genomic predictionLiang, Mang; An, Bingxing; Chang, Tianpeng; Deng, Tianyu; Du, Lili; Li, Keanning; Cao, Sheng; Du, Yueying; Xu, Lingyang; Zhang, Lupei; Gao, Xue; Li, Junya; Gao, Huijiang 分享 收藏 Integrating genomics and transcriptomics to identify candidate genes for subcutaneous fat deposition in beef cattle整合基因组学和转录组学以鉴定肉牛皮下脂肪沉积的候选基因Du, Lili; Li, Keanning; Chang, Tianpeng; An, Bingxing; Liang, Mang; Deng, Tianyu; Cao, Sheng; Du, Yueying; Cai, Wentao; Gao, Xue; Xu, Lingyang; Zhang, Lupei; Li, Junya; Gao, Huijiang 分享 收藏 Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattleDu, Lili; Chang, Tianpeng; An, Bingxing; Liang, Mang; Duan, Xinghai; Cai, Wentao; Zhu, Bo; Gao, Xue; Chen, Yan; Xu, Lingyang; Zhang, Lupei; Li, Junya; Gao, Huijiang 分享 收藏 KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiencyAn, Bingxing; Liang, Mang; Chang, Tianpeng; Duan, Xinghai; Du, Lili; Xu, Lingyang; Zhang, Lupei; Gao, Xue; Li, Junya; Gao, Huijiang 分享 收藏 
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