Transcriptome Analysis of Compensatory Growth and Meat Quality Alteration after Varied Restricted Feeding Conditions in Beef Cattle von Deng, Tianyu, Liang, Mang, Du, Lili, Li, Keanning, Li, Jinnan, Qian, Li, Xue, Qingqing, Qiu, Shiyuan, Xu, Lingyang, Zhang, Lupei, Gao, Xue, Li, Junya, Lan, Xianyong, Gao, Huijiang

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Prescreening of large-effect markers with multiple strategies improves the accuracy of genomic prediction von Li, Keanning, An, Bingxing, Liang, Mang, Chang, Tianpeng, Deng, Tianyu, Du, Lili, Cao, Sheng, Du, Yueying, Li, Hongyan, Xu, Lingyang, Zhang, Lupei, Gao, Xue, LI, Junya, Gao, Huijiang

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Incorporating genome-wide and transcriptome-wide association studies to identify genetic elements of longissimus dorsi muscle in Huaxi cattle von Liang, Mang, An, Bingxing, Deng, Tianyu, Du, Lili, Li, Keanning, Cao, Sheng, Du, Yueying, Xu, Lingyang, Zhang, Lupei, Gao, Xue, Cao, Yang, Zhao, Yuming, Li, Junya, Gao, Huijiang

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Genome-Wide Gene-Environment Interaction Analysis Identifies Novel Candidate Variants for Growth Traits in Beef Cattle von Deng, Tianyu, Li, Keanning, Du, Lili, Liang, Mang, Qian, Li, Xue, Qingqing, Qiu, Shiyuan, Xu, Lingyang, Zhang, Lupei, Gao, Xue, Lan, Xianyong, Li, Junya, Gao, Huijiang

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Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization von Liang, Mang, An, Bingxing, Li, Keanning, Du, Lili, Deng, Tianyu, Cao, Sheng, Du, Yueying, Xu, Lingyang, Gao, Xue, Zhang, Lupei, Li, Junya, Gao, Huijiang

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Incorporating kernelized multi-omics data improves the accuracy of genomic prediction von Liang, 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

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Transcriptomic analysis reveals diverse expression patterns underlying the fiber diameter of oxidative and glycolytic skeletal muscles in steers von Wang, Wenxiang, Zhang, Tianliu, Du, Lili, Li, Keanning, Zhang, Lupei, Li, Haipeng, Gao, Xue, Xu, Lingyang, Li, Junya, Gao, Huijiang

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Integrating genomics and transcriptomics to identify candidate genes for subcutaneous fat deposition in beef cattle von 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

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MAK: a machine learning framework improved genomic prediction via multi-target ensemble regressor chains and automatic selection of assistant traits von 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

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Transcriptomics and Lipid Metabolomics Analysis of Subcutaneous, Visceral, and Abdominal Adipose Tissues of Beef Cattle von Du, Lili, Chang, Tianpeng, An, Bingxing, Liang, Mang, Deng, Tianyu, Li, Keanning, Cao, Sheng, Du, Yueying, Gao, Xue, Xu, Lingyang, Zhang, Lupei, Li, Junya, Gao, Huijiang

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Incorporating kernelized multi-omics data improves the accuracy of genomic prediction von Mang Liang, Bingxing An, Tianpeng Chang, Tianyu Deng, Lili Du, Keanning Li, Sheng Cao, Yueying Du, Lingyang Xu, Lupei Zhang, Xue Gao, Junya Li, Huijiang Gao

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Additional file 1 of Incorporating kernelized multi-omics data improves the accuracy of genomic prediction von Liang, 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

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Additional file 4 of Incorporating kernelized multi-omics data improves the accuracy of genomic prediction von Liang, 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

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Additional file 2 of Incorporating kernelized multi-omics data improves the accuracy of genomic prediction von Liang, 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

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Additional file 3 of Incorporating kernelized multi-omics data improves the accuracy of genomic prediction von Liang, 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

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