Zobrazeno 1 - 10
of 349
pro vyhledávání: '"Momiao Xiong"'
Autor:
Xiaoxi Hu, Zixin Hu, Tao Xu, Kai Zhang, Henry H. Lu, Jinying Zhao, Eric Boerwinkle, Li Jin, Momiao Xiong
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study aims to develop an advanced mathematic model and investigate when and how will the COVID-19 in the US be evolved to endemic. We employed a nonlinear ordinary differential equations-based model to simulate COVID-19 transmission dyn
Externí odkaz:
https://doaj.org/article/59d1be53742f4054982ab2414896b5d6
Autor:
Cen Chang, Lingxia Xu, Runrun Zhang, Yehua Jin, Ping Jiang, Kai Wei, Linshuai Xu, Yiming Shi, Jianan Zhao, Momiao Xiong, Shicheng Guo, Dongyi He
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
MicroRNAs (miRNAs) play crucial roles in regulating the transcriptome and development of rheumatoid arthritis (RA). Currently, a comprehensive map illustrating how miRNAs regulate transcripts, pathways, immune system differentiation, and their intera
Externí odkaz:
https://doaj.org/article/115674b301d34d8eb9d18822dcf50544
Autor:
Chunyu Li, Yuchen Zhu, Chang Qi, Lili Liu, Dandan Zhang, Xu Wang, Kaili She, Yan Jia, Tingxuan Liu, Daihai He, Momiao Xiong, Xiujun Li
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: Novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), is now sweeping across the world. A substantial proportion of infections only lead to mild symptoms or are asymptomatic
Externí odkaz:
https://doaj.org/article/d4cce471b8d444618e18466eb59e4d44
Autor:
Yi Li, Xiaoyu Liu, Yanyun Ma, Yi Wang, Weichen Zhou, Meng Hao, Zhenghong Yuan, Jie Liu, Momiao Xiong, Yin Yao Shugart, Jiucun Wang, Li Jin
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Background Testing the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binar
Externí odkaz:
https://doaj.org/article/1002694f0f94455595d5ebdd1fb698e7
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 6 (2021)
Given the lack of potential vaccines and effective medications, non-pharmaceutical interventions are the major option to curtail the spread of COVID-19. An accurate estimate of the potential impact of different non-pharmaceutical measures on containi
Externí odkaz:
https://doaj.org/article/a438043fa01443359a03888751d5e5e9
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Treatment response is heterogeneous. However, the classical methods treat the treatment response as homogeneous and estimate the average treatment effects. The traditional methods are difficult to apply to precision oncology. Artificial intelligence
Externí odkaz:
https://doaj.org/article/23c7edd78a4b4d01a6716bd7d7e2ac99
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
As the Covid-19 pandemic surges around the world, questions arise about the number of global cases at the pandemic's peak, the length of the pandemic before receding, and the timing of intervention strategies to significantly stop the spread of Covid
Externí odkaz:
https://doaj.org/article/b004be20d35542d2acfef736ff6a486c
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Deep convolutional neural networks (DCNNs) have achieved great success for image classification in medical research. Deep learning with brain imaging is the imaging method of choice for the diagnosis and prediction of Alzheimer’s disease (AD). Howe
Externí odkaz:
https://doaj.org/article/16337cf689e24debb0e7935e12849771
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-19 (2017)
Abstract Background Epistasis plays an essential rule in understanding the regulation mechanisms and is an essential component of the genetic architecture of the gene expressions. However, interaction analysis of gene expressions remains fundamentall
Externí odkaz:
https://doaj.org/article/ecaef0679ae84cb69ba2f932fdaf00db
Autor:
Yi Wang, Yi Li, Meng Hao, Xiaoyu Liu, Menghan Zhang, Jiucun Wang, Momiao Xiong, Yin Yao Shugart, Li Jin
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Genome-wide association studies (GWASs) have identified abundant genetic susceptibility loci, GWAS of small sample size are far less from meeting the previous expectations due to low statistical power and false positive results. Effective statistical
Externí odkaz:
https://doaj.org/article/fe6c28ad305343a9a6625d62974a9ffc