Zobrazeno 1 - 10
of 1 147
pro vyhledávání: '"Bingxing An"'
Autor:
Keanning Li, Bingxing An, Mang Liang, Tianpeng Chang, Tianyu Deng, Lili Du, Sheng Cao, Yueying Du, Hongyan Li, Lingyang Xu, Lupei Zhang, Xue Gao, Junya LI, Huijiang Gao
Publikováno v:
Journal of Integrative Agriculture, Vol 23, Iss 5, Pp 1634-1643 (2024)
Presently, integrating multi-omics information into a prediction model has become a ameliorate strategy for genomic selection to improve genomic prediction accuracy. Here, we set the genomic and transcriptomic data as the training population data, us
Externí odkaz:
https://doaj.org/article/174d1302262e4897b4aa7669990028b7
Publikováno v:
Poultry Science, Vol 103, Iss 12, Pp 104338- (2024)
ABSTRACT: Broilers are a globally significant resource for food production, and their relative growth rate (RGR) has attracted increasing attention for improving broiler monitoring, feed management and feed conversion. The main objectives of this stu
Externí odkaz:
https://doaj.org/article/975186fe29ec4e51890c598ddb90554f
Autor:
Zhengda Li, Jumei Zheng, Bingxing An, Xiaochun Ma, Fan Ying, Fuli Kong, Jie Wen, Guiping Zhao
Publikováno v:
Poultry Science, Vol 102, Iss 10, Pp 102911- (2023)
ABSTRACT: The weight of breast muscle (WBM) is a highly monitored indicator in broiler breeding that can be obtained after slaughtering. Currently, due to the lack of accurate in vivo phenotypes for both genomic and phenotypic selection, genetic gain
Externí odkaz:
https://doaj.org/article/f63d7f5dce8145c297a425c5f8fa95bf
Autor:
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
Publikováno v:
Journal of Animal Science and Biotechnology, Vol 13, Iss 1, Pp 1-10 (2022)
Abstract Background Genomic selection (GS) has revolutionized animal and plant breeding after the first implementation via early selection before measuring phenotypes. Besides genome, transcriptome and metabolome information are increasingly consider
Externí odkaz:
https://doaj.org/article/166382f0fcab4ba79de31f7559573a7f
Autor:
Mang Liang, Bingxing An, Tianyu Deng, Lili Du, Keanning Li, Sheng Cao, Yueying Du, Lingyang Xu, Lupei Zhang, Xue Gao, Yang Cao, Yuming Zhao, Junya Li, Huijiang Gao
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
Locating the genetic variation of important livestock and poultry economic traits is essential for genetic improvement in breeding programs. Identifying the candidate genes for the productive ability of Huaxi cattle was one crucial element for practi
Externí odkaz:
https://doaj.org/article/66d58d4f45264bdf89739bf97f6acf54
Currently, widely used first-order deep learning optimizers include non-adaptive learning rate optimizers and adaptive learning rate optimizers. The former is represented by SGDM (Stochastic Gradient Descent with Momentum), while the latter is repres
Externí odkaz:
http://arxiv.org/abs/2409.15314
Autor:
Lili Du, Tianpeng Chang, Bingxing An, Mang Liang, Xinghai Duan, Wentao Cai, Bo Zhu, Xue Gao, Yan Chen, Lingyang Xu, Lupei Zhang, Junya Li, Huijiang Gao
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated. In this study, the longissimus dorsi (LD) muscles of
Externí odkaz:
https://doaj.org/article/807e7b0a526e4c28b17663279f2cce7b
Adaptive optimizers are pivotal in guiding the weight updates of deep neural networks, yet they often face challenges such as poor generalization and oscillation issues. To counter these, we introduce sigSignGrad and tanhSignGrad, two novel optimizer
Externí odkaz:
http://arxiv.org/abs/2408.11839
Autor:
Bingxing An, Lei Xu, Jiangwei Xia, Xiaoqiao Wang, Jian Miao, Tianpeng Chang, Meihua Song, Junqing Ni, Lingyang Xu, Lupei Zhang, Junya Li, Huijiang Gao
Publikováno v:
BMC Genetics, Vol 21, Iss 1, Pp 1-11 (2020)
Abstract Background Body size traits as one of the main breeding selection criteria was widely used to monitor cattle growth and to evaluate the selection response. In this study, body size was defined as body height (BH), body length (BL), hip heigh
Externí odkaz:
https://doaj.org/article/f147ffd56e074be4895bdf46f0667dae
Autor:
Mang Liang, Bingxing An, Keanning Li, Lili Du, Tianyu Deng, Sheng Cao, Yueying Du, Lingyang Xu, Xue Gao, Lupei Zhang, Junya Li, Huijiang Gao
Publikováno v:
Biology, Vol 11, Iss 11, p 1647 (2022)
Depending on excellent prediction ability, machine learning has been considered the most powerful implement to analyze high-throughput sequencing genome data. However, the sophisticated process of tuning hyperparameters tremendously impedes the wider
Externí odkaz:
https://doaj.org/article/41e07fee139348bdae5abb1f9ab9497f