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Akademický článek

O-glycosylation of SARS-CoV-2 spike protein by host O-glycosyltransferase strengthens its trimeric structure

Autor: Xu Zhijue, Zhang Han, Tian Jiaqi, Ku Xin, Wei Rumeng, Hou Jingli, Zhang Can, Yang Fang, Zou Xia, Li Yang, Kaji Hiroyuki, Tao Sheng-Ce, Kuno Atsushi, Yan Wei, Da Lin-Tai, Zhang Yan

Publikováno v: Acta Biochimica et Biophysica Sinica, Vol 56, Pp 1118-1129 (2024)

Protein O-glycosylation, also known as mucin-type O-glycosylation, is one of the most abundant glycosylation in mammalian cells. It is initially catalyzed by a family of polypeptide GalNAc transferases (ppGalNAc-Ts). The trimeric spike protein (S) of

Externí odkaz: https://doaj.org/article/634c917b7daf41bca9cda00eb9030346

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Analyze the Robustness of Classifiers under Label Noise

Autor: Zeng, Cheng, Xu, Yixuan, Tian, Jiaqi

This study explores the robustness of label noise classifiers, aiming to enhance model resilience against noisy data in complex real-world scenarios. Label noise in supervised learning, characterized by erroneous or imprecise labels, significantly im

Externí odkaz: http://arxiv.org/abs/2312.07271

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Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)

Autor: Zeng, Cheng, Tian, Jiaqi, Xu, Yixuan

Non-negative matrix factorization (NMF) and its variants have been widely employed in clustering and classification tasks (Long, & Jian , 2021). However, noises can seriously affect the results of our experiments. Our research is dedicated to investi

Externí odkaz: http://arxiv.org/abs/2312.01357

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