Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Yifang qin"'
Autor:
Jiale Jin, Xiaowei Xia, Chengxin Ruan, Zhiyuan Luo, Yiqi Yang, Dongyu Wang, Yifang Qin, Dongdong Li, Yong Zhang, Yihe Hu, Pengfei Lei
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-18 (2024)
Abstract Macrophage metabolism dysregulation, which is exacerbated by persistent stimulation in infectious and inflammatory diseases, such as diabetic infectious bone defects (DIBD), eventually leads to the failure of bone repair. Here, we have devel
Externí odkaz:
https://doaj.org/article/32b16e97c77f4fd19ab0c624127beffa
Autor:
Dongyu Wang, Jiale Jin, Chengran Zhang, Chengxin Ruan, Yifang qin, Dongdong Li, Ming Guan, Pengfei Lei
Publikováno v:
ACS Omega, Vol 9, Iss 38, Pp 40283-40285 (2024)
Externí odkaz:
https://doaj.org/article/9d6b1538bdae4cffae5b427b0a118a27
Autor:
Dongyu Wang, Jiale Jin, Chengran Zhang, Chengxin Ruan, Yifang qin, Dongdong Li, Ming Guan, Pengfei Lei
Publikováno v:
ACS Omega, Vol 9, Iss 4, Pp 4974-4985 (2024)
Externí odkaz:
https://doaj.org/article/09e54bff72dd4cbb86bc95fe1356e8f9
Autor:
Jiale Jin, Yang Liu, Chao Jiang, Yifan Shen, Guangyu Chu, Can Liu, Lejian Jiang, Guanrui Huang, Yifang Qin, Yijian Zhang, Chi Zhang, Yue Wang
Publikováno v:
Materials Today Bio, Vol 16, Iss , Pp 100370- (2022)
Osteoarthritis (OA) is a common degenerative joint disease worldwide and currently there is no effective strategy to stop its progression. It is known that oxidative stress and inflammation can promote the development of OA, and therapeutic strategie
Externí odkaz:
https://doaj.org/article/ad0e495387354a6fad070bdfab0212f6
Autor:
Yunqi Chao, Yonghui Jiang, Mianling Zhong, Kaiyan Wei, Chenxi Hu, Yifang Qin, Yiming Zuo, Lili Yang, Zheng Shen, Chaochun Zou
Publikováno v:
Cell & Bioscience, Vol 11, Iss 1, Pp 1-16 (2021)
Abstract Alternative splicing (AS) regulates gene expression patterns at the post-transcriptional level and generates a striking expansion of coding capacities of genomes and cellular protein diversity. RNA splicing could undergo modulation and close
Externí odkaz:
https://doaj.org/article/7ebbd72cbc2a44b983a2cb7f30206311
Autor:
YIFANG QIN1 qinyifang@pku.edu.cn, HONGJUN WU2 dlmao3@stu.pku.edu.cnl, WEI JU1 juwei@pku.edu.cn, XIAO LUO3 xiaoluo@cs.ucla.edu, MING ZHANG1 mzhang_cs@pku.edu.cn
Publikováno v:
ACM Transactions on Information Systems. Mar2024, Vol. 42 Issue 2, p1-27. 27p.
Publikováno v:
Neural Networks. 163:122-131
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Mar2024, Vol. 20 Issue 3, p1-19, 19p
Node classification on graphs is a significant task with a wide range of applications, including social analysis and anomaly detection. Even though graph neural networks (GNNs) have produced promising results on this task, current techniques often pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dd6b2a4397aec428fde2700fa96bc23
http://arxiv.org/abs/2306.08194
http://arxiv.org/abs/2306.08194
Graph neural networks have pushed state-of-the-arts in graph classifications recently. Typically, these methods are studied within the context of supervised end-to-end training, which necessities copious task-specific labels. However, in real-world c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68d62e6950c3c089a618f59d9951dcb3
http://arxiv.org/abs/2305.19598
http://arxiv.org/abs/2305.19598