Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ruijiang Han"'
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Previous observational studies suggested that sarcopenia is associated with Parkinson disease (PD), but it is unclear whether this association is causal. The objective of this study was to examine causal associations between sarcopenia-relat
Externí odkaz:
https://doaj.org/article/d7e197d5c87644d78b93880e411c6eb6
Autor:
Jiajie Peng, Zhijie Bao, Jingyi Li, Ruijiang Han, Yuxian Wang, Lu Han, Jinghao Peng, Tao Wang, Jianye Hao, Zhongyu Wei, Xuequn Shang
Publikováno v:
Fundamental Research, Vol 4, Iss 4, Pp 752-760 (2024)
The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest. Although widely applied, traditional polygenic risk scoring methods fall short, as they are built on additive m
Externí odkaz:
https://doaj.org/article/6225a42707df44458a2783098d47734f
Autor:
Haotian Liao, Yuxi Long, Ruijiang Han, Wei Wang, Lin Xu, Mingheng Liao, Zhen Zhang, Zhenru Wu, Xuequn Shang, Xuefeng Li, Jiajie Peng, Kefei Yuan, Yong Zeng
Publikováno v:
Clinical and Translational Medicine, Vol 10, Iss 2, Pp n/a-n/a (2020)
Externí odkaz:
https://doaj.org/article/992515fa45a74d0cb531c19ea7fbdf80
Autor:
Zhongyu Wei, Jiajie Peng, Jiaoye Hao, Ruijiang Han, Yuxian Wang, Xuequn Shang, Tao Wang, Jingyi Li, Lu Han, Jinghao Peng
Identifying individuals at high risk in the population is a key public health need. For many common diseases, individual susceptibility may be influenced by genetic variation. Recently, the clinical potential of polygenic risk score (PRS) has attract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10a7b8167d7071548211703e896c64f7
https://doi.org/10.1101/2021.11.17.21265352
https://doi.org/10.1101/2021.11.17.21265352
Autor:
Yongtian Wang, Yuxian Wang, Jiajie Peng, Wei Wang, Xuequn Shang, Tao Wang, Menghan Zhang, Ruijiang Han
Publikováno v:
Briefings in Bioinformatics. 23
Brain disease gene identification is critical for revealing the biological mechanism and developing drugs for brain diseases. To enhance the identification of brain disease genes, similarity-based computational methods, especially network-based metho
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12965-12966
Deep representation learning has succeeded in several fields. However, pre-trained deep representations are usually biased and make downstream models sensitive to different attributes. In this work, we propose a post-processing unsupervised deep repr
Autor:
Yuxian Wang, Zhongyu Wei, Jiajie Peng, Jianye Hao, Jiaojiao Guan, Jingyi Li, Ruijiang Han, Xuequn Shang
Publikováno v:
Briefings in bioinformatics. 22(5)
Accurately identifying potential drug–target interactions (DTIs) is a key step in drug discovery. Although many related experimental studies have been carried out for identifying DTIs in the past few decades, the biological experiment-based DTI ide
Autor:
Yuxi Long, Kefei Yuan, Mingheng Liao, Wei Wang, Ruijiang Han, Lin Xu, Xuequn Shang, Jiajie Peng, Yong Zeng, Zhen Zhang, Zhenru Wu, Haotian Liao, Xuefeng Li
Publikováno v:
Clinical and Translational Medicine, Vol 10, Iss 2, Pp n/a-n/a (2020)
Clinical and Translational Medicine
Clinical and Translational Medicine