Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Yalu Wen"'
Autor:
Jukai Huang, Yalu Wen, Tianyi Yang, Haibo Song, Ronald Meyboom, Xiaohui Yang, Lida Teng, Pierre Duez, Li Zhang
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31373- (2024)
Objective: The traditional Chinese patent medicine (TCPM), Simo decoction (Simo decoction oral solution), with its primary ingredient Arecae semen (Binglang, Areca catechu L.), known for its potential carcinogenic effects, is the subject of this stud
Externí odkaz:
https://doaj.org/article/4a32ffadaeb14873a5d686660919e474
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Feature selection is an indispensable step for the analysis of high-dimensional molecular data. Despite its importance, consensus is lacking on how to choose the most appropriate feature selection methods, especially when the performance of
Externí odkaz:
https://doaj.org/article/ec24181b5932450ea0fe79c55eedf624
Autor:
Yan Liu, Chaoyue Hu, Kehua Zhou, Ye Zhang, Jing Kang, Yalu Wen, Ruyue Yuan, Jiaoyue Li, Qiyao Zhao, Li Zhang, Xiaohui Yang
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Background: This study aimed to assess the overall reporting quality of randomized controlled trials (RCTs) in Chinese herbal medicine (CHM) formulas for patients with diabetes, and to identify factors associated with better reporting quality.Methods
Externí odkaz:
https://doaj.org/article/45cfa9594e1849edbf6b2286a47dc1fb
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract While the high-dimensional biological data have provided unprecedented data resources for the identification of biomarkers, consensus is still lacking on how to best analyze them. The recently developed Gaussian mirror (GM) and Model-X (MX)
Externí odkaz:
https://doaj.org/article/0e2c5d02823643b4aba584ed2840cd48
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Motivation: Family-based study design is one of the popular designs used in genetic research, and the whole-genome sequencing data obtained from family-based studies offer many unique features for risk prediction studies. They can not only provide a
Externí odkaz:
https://doaj.org/article/d89351da5aa44102bbc06916dcf4a17f
Autor:
Ziqi Li, Weijia Dang, Tianqi Hao, Hualin Zhang, Ziwei Yao, Wenchao Zhou, Liufei Deng, Hongmei Yu, Yalu Wen, Long Liu
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionThe comorbidity between major depressive disorder (MDD) and coronavirus disease of 2019 (COVID-19) related traits have long been identified in clinical settings, but their shared genetic foundation and causal relationships are unknown. He
Externí odkaz:
https://doaj.org/article/d599f6c14a1c416aa3503d3296f7a938
Publikováno v:
Biomolecules, Vol 13, Iss 12, p 1761 (2023)
The detection of Parkinson’s disease (PD) in its early stages is of great importance for its treatment and management, but consensus is lacking on what information is necessary and what models should be used to best predict PD risk. In our study, w
Externí odkaz:
https://doaj.org/article/55d496694a204e2d8460181b7b1dc776
A guidance of model selection for genomic prediction based on linear mixed models for complex traits
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Brain imaging outcomes are important for Alzheimer’s disease (AD) detection, and their prediction based on both genetic and demographic risk factors can facilitate the ongoing prevention and treatment of AD. Existing studies have identified numerou
Externí odkaz:
https://doaj.org/article/68149a79b3ca4c569a5686ba1916f2de
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 7, p e1010328 (2022)
Building an accurate disease risk prediction model is an essential step in the modern quest for precision medicine. While high-dimensional genomic data provides valuable data resources for the investigations of disease risk, their huge amount of nois
Externí odkaz:
https://doaj.org/article/8c46f554b6c14aba8f72634fe8a0175c
Autor:
Bin He, Rui Gao, Dekang Lv, Yalu Wen, Luyao Song, Xi Wang, Suxia Lin, Qitao Huang, Ziqian Deng, Zifeng Wang, Min Yan, Feimeng Zheng, Eric W.-F. Lam, Keith W. Kelley, Zhiguang Li, Quentin Liu
Publikováno v:
EBioMedicine, Vol 41, Iss , Pp 120-133 (2019)
Background: Differential gene expression patterns are commonly used as biomarkers to predict treatment responses among heterogeneous tumors. However, the link between response biomarkers and treatment-targeting biological processes remain poorly unde
Externí odkaz:
https://doaj.org/article/7c5f2d5843844348b80131813632891c