日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Identifying Alzheimer's Disease Progression Subphenotypes Via a Graph-based Framework Using Electronic Health Records

利用基于电子健康记录的图论框架识别阿尔茨海默病进展亚表型

Huang, Yu; Xu, Jie; Fan, Zhengkang; Hu, Yu; He, Xing; Chen, Aokun; Liu, Yuxi; Yin, Rui; Guo, Jingchuan; DeKosky, Steven T; Jaffee, Michael; Zhou, Manqi; Su, Chang; Wang, Fei; Guo, Yi; Bian, Jiang

Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning

利用机器学习从大规模电子健康记录中识别阿尔茨海默病进展亚表型

Zhou, Manqi; Tang, Alice S; Zhang, Hao; Xu, Zhenxing; Ke, Alison M C; Su, Chang; Huang, Yu; Mantyh, William G; Jaffee, Michael S; Rankin, Katherine P; DeKosky, Steven T; Zhou, Jiayu; Guo, Yi; Bian, Jiang; Sirota, Marina; Wang, Fei

Positive rate and influencing factors of adolescent idiopathic scoliosis among school children aged 9 to 18 years in Xiamen, China

中国厦门市9至18岁学龄儿童青少年特发性脊柱侧弯阳性率及其影响因素

Peng, Zhongrui; Li, Yuanchao; Yang, Hong; Jiang, Yanfang; Li, Yuqing; Gao, Mengyang; Hua, Yangjingling; Liu, Guimei; Zhou, Manqi; Chen, Tianmu; Hong, Huarong; Li, Lei

Liver fibrosis associated with more severe motor deficits in early Parkinson's disease

肝纤维化与早期帕金森病患者更严重的运动功能障碍相关

Zolin, Aryeh; Ooi, Hwai; Zhou, Manqi; Su, Chang; Wang, Fei; Sarva, Harini

Identifying Alzheimer's Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records

利用基于电子健康记录的图论框架识别阿尔茨海默病进展亚表型

Huang, Yu; Xu, Jie; Fan, Zhengkang; Hu, Yu; He, Xing; Chen, Aokun; Liu, Yuxi; Yin, Rui; Guo, Jingchuan; DeKosky, Steven T; Jaffee, Michael; Zhou, Manqi; Su, Chang; Wang, Fei; Guo, Yi; Bian, Jiang

Abstracts from the 56(th) European Society of Human Genetics (ESHG) Conference: e-Posters

第56届欧洲人类遗传学会(ESHG)会议摘要:电子海报

Deng, Kaiwen; Xu, Xinya; Zhou, Manqi; Li, Hongyang; Keller, Evan T; Shelley, Gregory; Lu, Annie; Garmire, Lana; Guan, Yuanfang

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data

通过多模态数据的整合分析,识别帕金森病 PACE 亚型并重新定位治疗方法

Su, Chang; Hou, Yu; Xu, Jielin; Xu, Zhenxing; Zhou, Manqi; Ke, Alison; Li, Haoyang; Xu, Jie; Brendel, Matthew; Maasch, Jacqueline R M A; Bai, Zilong; Zhang, Haotan; Zhu, Yingying; Cincotta, Molly C; Shi, Xinghua; Henchcliffe, Claire; Leverenz, James B; Cummings, Jeffrey; Okun, Michael S; Bian, Jiang; Cheng, Feixiong; Wang, Fei

Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique

利用可解释的深度学习技术对高维单细胞多模态数据进行整合分析的方案

Zhou, Manqi; Zhang, Hao; Bai, Zilong; Mann-Krzisnik, Dylan; Wang, Fei; Li, Yue

Single-cell multi-omics topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures.

单细胞多组学主题嵌入揭示了细胞类型特异性和 COVID-19 严重程度相关的免疫特征

Zhou Manqi, Zhang Hao, Bai Zilong, Mann-Krzisnik Dylan, Wang Fei, Li Yue

Biomedical discovery through the integrative biomedical knowledge hub (iBKH)

通过综合生物医学知识中心(iBKH)进行生物医学发现

Su, Chang; Hou, Yu; Zhou, Manqi; Rajendran, Suraj; Maasch, Jacqueline R M A; Abedi, Zehra; Zhang, Haotan; Bai, Zilong; Cuturrufo, Anthony; Guo, Winston; Chaudhry, Fayzan F; Ghahramani, Gregory; Tang, Jian; Cheng, Feixiong; Li, Yue; Zhang, Rui; DeKosky, Steven T; Bian, Jiang; Wang, Fei