Výsledky vyhledávání - Gaoyang Li

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  1. 1
    Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data

    Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data Autor Yuqi Lin, Wen Zhang, Huanshen Cao, Gaoyang Li, Wei Du

    Vydáno 2020
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  2. 2
    Pulse-Wave-Pattern Classification with a Convolutional Neural Network

    Pulse-Wave-Pattern Classification with a Convolutional Neural Network Autor Gaoyang Li, Kazuhiro Watanabe, Hitomi Anzai, Xiaorui Song, Aike Qiao, Makoto Ohta

    Vydáno 2019
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  3. 3
    A feasibility study of multi-mode intelligent fusion medical data transmission technology of industrial Internet of Things combined with medical Internet of Things

    A feasibility study of multi-mode intelligent fusion medical data transmission technology of industrial Internet of Things combined with medical Internet of Things Autor Xuhui Ding, Yue Zhang, Jiaxuan Li, Boyan Mao, Yuting Guo, Gaoyang Li

    Vydáno 2023
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  4. 4
    Dietary Fiber from Navel Orange Peel Prepared by Enzymatic and Ultrasound-Assisted Deep Eutectic Solvents: Physicochemical and Prebiotic Properties

    Dietary Fiber from Navel Orange Peel Prepared by Enzymatic and Ultrasound-Assisted Deep Eutectic Solvents: Physicochemical and Prebiotic Properties Autor Liling Zhou, Jiaqian Luo, Qiu‐Tao Xie, Lvhong Huang, Dan Shen, Gaoyang Li

    Vydáno 2023
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  5. 5
    Controlled Atmosphere Improves the Quality, Antioxidant Activity and Phenolic Content of Yellow Peach during the Shelf Life

    Controlled Atmosphere Improves the Quality, Antioxidant Activity and Phenolic Content of Yellow Peach during the Shelf Life Autor Xinrui Dong, Yi He, Chushan Yuan, Xiaomei Cheng, Gaoyang Li, Yang Shan, Xiangrong Zhu

    Vydáno 2022
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  6. 6
    Kled: an ultra-fast and sensitive structural variant detection tool for long-read sequencing data

    Kled: an ultra-fast and sensitive structural variant detection tool for long-read sequencing data Autor Z. Zhang, Tao Jiang, Gaoyang Li, Shuqi Cao, Yadong Liu, Bo Liu, Yadong Wang

    Vydáno 2024
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  7. 7
    Systems-level understanding of ethanol-induced stresses and adaptation in E. coli

    Systems-level understanding of ethanol-induced stresses and adaptation in E. coli Autor Huansheng Cao, Wei Du, Yuedong Yang, Yu Shang, Gaoyang Li, Yaoqi Zhou, Qin Ma, Ying Xu

    Vydáno 2017
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  8. 8
    Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning

    Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning Autor Gaoyang Li, Haoran Wang, Mingzi Zhang, Simon Tupin, Aike Qiao, Youjun Liu, Makoto Ohta, Hitomi Anzai

    Vydáno 2021
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  9. 9
    Deep learning-based hemodynamic prediction of carotid artery stenosis before and after surgical treatments

    Deep learning-based hemodynamic prediction of carotid artery stenosis before and after surgical treatments Autor Sirui Wang, Dandan Wu, Gaoyang Li, Zhiyuan Zhang, Weizhong Xiao, Ruichen Li, Aike Qiao, Long Jin, Hao Liu

    Vydáno 2023
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  10. 10
    A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data

    A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data Autor Gaoyang Li, Shaliu Fu, Shuguang Wang, Chenyu Zhu, Bin Duan, Chen Tang, Xiaohan Chen, Guohui Chuai, Ping Wang, Qi Liu

    Vydáno 2022
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  11. 11
    Untargeted Metabolomic Analyses and Antilipidemic Effects of Citrus Physiological Premature Fruit Drop

    Untargeted Metabolomic Analyses and Antilipidemic Effects of Citrus Physiological Premature Fruit Drop Autor Chao Wang, Mingfang Peng, Zhipeng Gao, Qi Han, Fuhua Fu, Gaoyang Li, Donglin Su, Lvhong Huang, Jiajing Guo, Yang Shan

    Vydáno 2024
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  12. 12
    Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology

    Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology Autor Xuelan Zhang, Baoyan Mao, Yue Che, Jiaheng Kang, Mingyao Luo, Aike Qiao, Youjun Liu, Hitomi Anzai, Makoto Ohta, Yuting Guo, Gaoyang Li

    Vydáno 2023
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  13. 13
    cGAS‐STING Pathway Activation and Systemic Anti‐Tumor Immunity Induction via Photodynamic Nanoparticles with Potent Toxic Platinum DNA Intercalator Against Uveal Melanoma

    cGAS‐STING Pathway Activation and Systemic Anti‐Tumor Immunity Induction via Photodynamic Nanoparticles with Potent Toxic Platinum DNA Intercalator Against Uveal Melanoma Autor Hui Tao, Jia Tan, Hanchen Zhang, Hong Ren, Ziyi Cai, Hanhan Liu, Bingyu Wen, Jiaqi Du, Gaoyang Li, Shijie Chen, Haihua Xiao, Zhihong Deng

    Vydáno 2023
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  14. 14
    Cyanidin-3-O-Glucoside Alleviates Alcoholic Liver Injury via Modulating Gut Microbiota and Metabolites in Mice

    Cyanidin-3-O-Glucoside Alleviates Alcoholic Liver Injury via Modulating Gut Microbiota and Metabolites in Mice Autor Lingfeng Zhu, Fuliang Cao, Zuomin Hu, Yaping Zhou, Tianyi Guo, Sisi Yan, Qiu‐Tao Xie, Xinxin Xia, Hongyan Yuan, Gaoyang Li, Feijun Luo, Qinlu Lin

    Vydáno 2024
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  15. 15
    Model-based understanding of single-cell CRISPR screening

    Model-based understanding of single-cell CRISPR screening Autor Bin Duan, Chi Zhou, Chengyu Zhu, Yifei Yu, Gaoyang Li, Shihua Zhang, Chao Zhang, Xiangyun Ye, Hanhui Ma, Shen Qu, Zhiyuan Zhang, Ping Wang, Shuyang Sun, Qi Liu

    Vydáno 2019
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  16. 16
    Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study

    Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study Autor Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joe Sexton, Giulia Malachin, Guro Løvik Goll, Tore K Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Bjørn Steen Skålhegg

    Vydáno 2025
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  17. 17
    Germline and Mosaic Variants in PRKACA and PRKACB Cause a Multiple Congenital Malformation Syndrome

    Germline and Mosaic Variants in PRKACA and PRKACB Cause a Multiple Congenital Malformation Syndrome Autor Adrián Palencia‐Campos, Phillip C. Aoto, Erik M.F. Machal, Ana Rivera‐Barahona, Patricia Soto‐Bielicka, Daniela Bertinetti, Blaine Baker, Lily Vu, Francesca Piceci‐Sparascio, Isabella Torrente, Eveline Boudin, Silke Peeters, Wim Van Hul, Céline Huber, Dominique Bonneau, Michael S. Hildebrand, Matthew Coleman, Melanie Bahlo, Mark F. Bennett, Amy L. Schneider, Ingrid E. Scheffer, Maria Kibæk, Britta Schlott Kristiansen, Mahmoud Y. Issa, Mennat Mehrez, Samira Ismail, Jair Tenorio, Gaoyang Li, Bjørn Steen Skålhegg, Ghada A. Otaify, Samia A. Temtamy, Mona Aglan, Aia Elise Jønch, Alessandro De Luca, Geert Mortier, Valérie Cormier‐Daire, Alban Ziegler, Mathew Wallis, Pablo Lapunzina, Friedrich W. Herberg, Susan S. Taylor, Víctor L. Ruiz‐Pérez

    Vydáno 2020
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