Zobrazeno 1 - 10
of 1 129
pro vyhledávání: '"Ju Xiang"'
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Introduction: Insulin has an effect on neurodegenerative diseases. However, the role and mechanism of insulin in vascular dementia (VD) and its underlying mechanism are unknown. In this study, we aimed to investigate the effects and mechanism of insu
Externí odkaz:
https://doaj.org/article/68c807a0ec2f4c2ab47984282b5f8659
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
Many diseases, such as Alzheimer's disease (AD) and Parkinson's disease (PD), are caused by abnormalities or mutations of related genes. Many computational methods based on the network relationship between diseases and genes have been proposed to pre
Externí odkaz:
https://doaj.org/article/6db9ef870ad64947aaa06e2e0cb71009
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
The study of disease-gene associations is an important topic in the field of computational biology. The accumulation of massive amounts of biomedical data provides new possibilities for exploring potential relations between diseases and genes through
Externí odkaz:
https://doaj.org/article/98ba54984ba549cabbe39ebb5eb1a201
Autor:
Yibai Wang, Ju Xiang, Cuicui Liu, Min Tang, Rui Hou, Meihua Bao, Geng Tian, Jianjun He, Binsheng He
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Coronavirus disease 2019 (COVID-19), a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently spreading rapidly around the world. Since SARS-CoV-2 seriously threatens human life and health as well as the developm
Externí odkaz:
https://doaj.org/article/aac01c8e57514d31935f835a87ea915c
Autor:
Liang Ge, Changpeng Zhang, Guiyun Tian, Xiaoting Xiao, Junaid Ahmed, Guohui Wei, Ze Hu, Ju Xiang, Mark Robinson
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 34, Iss 1, Pp 1-29 (2021)
Abstract Buried pipelines are an essential component of the urban infrastructure of modern cities. Traditional buried pipes are mainly made of metal materials. With the development of material science and technology in recent years, non-metallic pipe
Externí odkaz:
https://doaj.org/article/7c87648c392d4f6c8d8014f9bc950e3b
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Network embedding has attracted a lot of attention in different fields recently. It represents nodes in a network into a low-dimensional and dense space while preserving the structural properties of the network. Some methods (e.g. motif2Vec, RUM, and
Externí odkaz:
https://doaj.org/article/1be94e290be747989b0105b296cd110d
Publikováno v:
Heliyon, Vol 8, Iss 7, Pp e09955- (2022)
Chicoric acid (CA), an active phenolic acid of Echinacea purpurea (Linn.) Moench, has been demonstrated to exhibit antioxidative, antiviral and immunological activities. A prior study showed that CA is a water-soluble compound with low bioavailabilit
Externí odkaz:
https://doaj.org/article/64201337c36e40298a1c7bd022c53556
Autor:
Chuanying Liu, Dong Wei, Ju Xiang, Fuquan Ren, Li Huang, Jidong Lang, Geng Tian, Yushuang Li, Jialiang Yang
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 21, Iss , Pp 676-686 (2020)
In this study, we proposed an ensemble learning method, simultaneously integrating a low-rank matrix completion model and a ridge regression model to predict anticancer drug response on cancer cell lines. The model was applied to two benchmark datase
Externí odkaz:
https://doaj.org/article/7d4f44d0d2db403eb69232e84a9e53a9
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S13, Pp 1-12 (2020)
Abstract Background Drug discovery is known for the large amount of money and time it consumes and the high risk it takes. Drug repositioning has, therefore, become a popular approach to save time and cost by finding novel indications for approved dr
Externí odkaz:
https://doaj.org/article/ab1535576b6743c98f161cca615748cc
Autor:
Junlin Xu, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang
Publikováno v:
IEEE Access, Vol 8, Pp 80728-80738 (2020)
Identifying disease-related microRNAs (miRNAs) is crucial to understanding the etiology and pathogenesis of many diseases. However, existing computational methods are facing a few dilemmas such as lacking “negative samples” (i.e. confirmed unrela
Externí odkaz:
https://doaj.org/article/826291cd585741eb94f84f071f4fdf97