Search Results - "Liang, Mang"

Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle by Du, 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

“…Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef…”
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A Stacking Ensemble Learning Framework for Genomic Prediction by Liang, Mang, Chang, Tianpeng, An, Bingxing, Duan, Xinghai, Du, Lili, Wang, Xiaoqiao, Miao, Jian, Xu, Lingyang, Gao, Xue, Zhang, Lupei, Li, Junya, Gao, Huijiang

“…Machine learning (ML) is perhaps the most useful tool for the interpretation of large genomic datasets. However, the performance of a single machine learning…”
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Transcriptome Analysis of Compensatory Growth and Meat Quality Alteration after Varied Restricted Feeding Conditions in Beef Cattle by 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

“…Compensatory growth (CG) is a physiological response that accelerates growth following a period of nutrient limitation, with the potential to improve growth…”
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Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle by Duan, Xinghai, An, Bingxing, Du, Lili, Chang, Tianpeng, Liang, Mang, Yang, Bai-Gao, Xu, Lingyang, Zhang, Lupei, Li, Junya, E, Guangxin, Gao, Huijiang

“…The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original…”
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Incorporating genome-wide and transcriptome-wide association studies to identify genetic elements of longissimus dorsi muscle in Huaxi cattle by 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

“…Locating the genetic variation of important livestock and poultry economic traits is essential for genetic improvement in breeding programs. Identifying the…”
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Prescreening of large-effect markers with multiple strategies improves the accuracy of genomic prediction by 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

“…Presently, integrating multi-omics information into a prediction model has become a ameliorate strategy for genomic selection to improve genomic prediction…”
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PacBio Single-Molecule Long-Read Sequencing Provides New Light on the Complexity of Full-Length Transcripts in Cattle by Chang, Tianpeng, An, Bingxing, Liang, Mang, Duan, Xinghai, Du, Lili, Cai, Wentao, Zhu, Bo, Gao, Xue, Chen, Yan, Xu, Lingyang, Zhang, Lupei, Gao, Huijiang, Li, Junya

“…Cattle ( Bos taurus ) is one of the most widely distributed livestock species in the world, and provides us with high-quality milk and meat which have a huge…”
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Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization by Liang, Mang, An, Bingxing, Li, Keanning, Du, Lili, Deng, Tianyu, Cao, Sheng, Du, Yueying, Xu, Lingyang, Gao, Xue, Zhang, Lupei, Li, Junya, Gao, Huijiang

“…Depending on excellent prediction ability, machine learning has been considered the most powerful implement to analyze high-throughput sequencing genome data…”
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Genome-Wide Gene-Environment Interaction Analysis Identifies Novel Candidate Variants for Growth Traits in Beef Cattle by 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

“…Complex traits are widely considered to be the result of a compound regulation of genes, environmental factors, and genotype-by-environment interaction (G ×…”
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Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle by Du, Lili, Duan, Xinghai, An, Bingxing, Chang, Tianpeng, Liang, Mang, Xu, Lingyang, Zhang, Lupei, Li, Junya, E, Guangxin, Gao, Huijiang

“…Body weight (BW) is an important longitudinal trait that directly described the growth gain of bovine in production. However, previous genome-wide association…”
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Incorporating kernelized multi-omics data improves the accuracy of genomic prediction by 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

“…Abstract Background Genomic selection (GS) has revolutionized animal and plant breeding after the first implementation via early selection before measuring…”
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A Fast and Powerful Empirical Bayes Method for Genome-Wide Association Studies by Chang, Tianpeng, Wei, Julong, Liang, Mang, An, Bingxing, Wang, Xiaoqiao, Zhu, Bo, Xu, Lingyang, Zhang, Lupei, Gao, Xue, Chen, Yan, Li, Junya, Gao, Huijiang

“…Linear mixed model (LMM) is an efficient method for GWAS. There are numerous forms of LMM-based GWAS methods. However, improving statistical power and…”
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Integrating genomics and transcriptomics to identify candidate genes for subcutaneous fat deposition in beef cattle by 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

“…Fat deposition is a complex economic trait regulated by polygenic genetic basis and environmental factors. Therefore, integrating multi-omics data to uncover…”
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KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency by An, Bingxing, Liang, Mang, Chang, Tianpeng, Duan, Xinghai, Du, Lili, Xu, Lingyang, Zhang, Lupei, Gao, Xue, Li, Junya, Gao, Huijiang

“…Nowadays, advances in high-throughput sequencing benefit the increasing application of genomic prediction (GP) in breeding programs. In this research, we…”
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MAK: a machine learning framework improved genomic prediction via multi-target ensemble regressor chains and automatic selection of assistant traits by 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

“…Abstract Incorporating the genotypic and phenotypic of the correlated traits into the multi-trait model can significantly improve the prediction accuracy of…”
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Transcriptomics and Lipid Metabolomics Analysis of Subcutaneous, Visceral, and Abdominal Adipose Tissues of Beef Cattle by 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

“…Fat deposition traits are influenced by genetics and environment, which affect meat quality, growth rate, and energy metabolism of domestic animals. However,…”
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Application of ensemble learning to genomic selection in chinese simmental beef cattle by Liang, Mang, Miao, Jian, Wang, Xiaoqiao, Chang, Tianpeng, An, Bingxing, Duan, Xinghai, Xu, Lingyang, Gao, Xue, Zhang, Lupei, Li, Junya, Gao, Huijiang

“…Genomic selection (GS) using the whole‐genome molecular makers to predict genomic estimated breeding values (GEBVs) is revolutionizing the livestock and plant…”
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Incorporating kernelized multi-omics data improves the accuracy of genomic prediction by 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

“…Background: Genomic selection (GS) has revolutionized animal and plant breeding after the first implementation via early selection before measuring phenotypes…”
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Nomogram for prediction of the international study Group of Liver Surgery (ISGLS) grade B/C Posthepatectomy liver failure in HBV-related hepatocellular carcinoma patients: an external validation and prospective application study by Ye, Jia-Zhou, Mai, Rong-Yun, Guo, Wei-Xing, Wang, Yan-Yan, Ma, Liang, Xiang, Bang-de, Cheng, Shu-Qun, Li, Le-Qun

“…To develop a nomogram for predicting the International Study Group of Liver Surgery (ISGLS) grade B/C posthepatectomy liver failure (PHLF) in hepatitis B virus…”
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Stability analysis of the neutral noble gas molecules FNgX and their anions FNgX− (Ng = He, Ar, Kr; X = O, S) by Li, Yun, Ai, Hongqi, Qi, Zhongnan, He, Wei, Zhang, Liang

“…The structural stability and bonding energies of the neutral noble gas molecules FNgX and their anions FNgX− (Ng = He, Ar, Kr; X = O, S) are discussed at the…”
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