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  1. Book: Computational methods for single-cell data analysis

    Yuan, Guo-Cheng

    methods and protocols

    (Methods in molecular biology ; 1935 ; Springer protocols)

    2019  

    Author's details edited by Guo-Cheng Yuan
    Series title Methods in molecular biology ; 1935
    Springer protocols
    Collection
    Language English
    Size X, 271 Seiten, Illustrationen
    Publisher Humana Press
    Publishing place New York, NY
    Publishing country United States
    Document type Book
    HBZ-ID HT020000538
    ISBN 978-1-4939-9056-6 ; 9781493990573 ; 1-4939-9056-X ; 1493990578
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    Zs A 7042 -1935- verfügbar in Königswinter Königswinter

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  2. Article ; Online: Exploration of Professor Liu Taofeng's experience in the treatment of eczema based on Data Mining Technology

    Xin-Yuan Guo

    Journal of Hainan Medical University, Vol 26, Iss 4, Pp 50-

    2020  Volume 55

    Abstract: Objective: To explore the clinical medication law of Professor Liu Taofeng in the treatment of eczema by using data mining technology. Methods: the cases of eczema treated by Professor Liu Taofeng in the outpatient department of the First Affiliated ... ...

    Abstract Objective: To explore the clinical medication law of Professor Liu Taofeng in the treatment of eczema by using data mining technology. Methods: the cases of eczema treated by Professor Liu Taofeng in the outpatient department of the First Affiliated Hospital of Anhui University of traditional Chinese medicine from June 2018 to October 2019 were collected and sorted out. The database was established with the help of Microsoft Excel 2016, SPSS statistical 24.0 and SPSS modeler 18.0 computer software, and the frequency analysis, high-frequency drug association rule analysis and cluster analysis were carried out. Results: among the 255 prescriptions included in the study, 41 traditional Chinese medicines were involved, and the top 10 drugs were fresh white skin, cortex Scutellariae, Cortex Moutan, Tribulus terrestris, Sophora flavescens, Salvia miltiorrhiza, Atractylodes macrocephala, Poria cocos, liquorice, and Cynanchum paniculatum; 10 pairs of 2 drugs were associated by association analysis, such as "Tribulus terrestris → fresh white skin, Sophora flavescens → cortex Scutellariae"; and "Poria cocos, Atractylodes macrocephala, lentils" were obtained by cluster analysis. Conclusion: Professor Liu Taofeng paid more attention to the heart and liver in the treatment of eczema, taking clearing away heat, cooling blood and removing dampness as the main treatment, and paid more attention to invigorating the spleen and stomach or removing blood stasis.
    Keywords eczema ; liu taofeng ; association analysis ; cluster analysis ; data mining ; Medicine ; R
    Subject code 001
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher Editorial Board of Journal of Hainan Medical University
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Deep Transfer Learning for COVID-19 Detection and Lesion Recognition Using Chest CT Images.

    Zhang, Sai / Yuan, Guo-Chang

    Computational and mathematical methods in medicine

    2022  Volume 2022, Page(s) 4509394

    Abstract: Starting from December 2019, the global pandemic of coronavirus disease 2019 (COVID-19) is continuously expanding and has caused several millions of deaths worldwide. Fast and accurate diagnostic methods for COVID-19 detection play a vital role in ... ...

    Abstract Starting from December 2019, the global pandemic of coronavirus disease 2019 (COVID-19) is continuously expanding and has caused several millions of deaths worldwide. Fast and accurate diagnostic methods for COVID-19 detection play a vital role in containing the plague. Chest computed tomography (CT) is one of the most commonly used diagnosis methods. However, a complete CT-scan has hundreds of slices, and it is time-consuming for radiologists to check each slice to diagnose COVID-19. This study introduces a novel method for fast and automated COVID-19 diagnosis using the chest CT scans. The proposed models are based on the state-of-the-art deep convolutional neural network (CNN) architecture, and a 2D global max pooling (globalMaxPool2D) layer is used to improve the performance. We compare the proposed models to the existing state-of-the-art deep learning models such as CNN based models and vision transformer (ViT) models. Based off of metric such as area under curve (AUC), sensitivity, specificity, accuracy, and false discovery rate (FDR), experimental results show that the proposed models outperform the previous methods, and the best model achieves an area under curve of 0.9744 and accuracy 94.12% on our test datasets. It is also shown that the accuracy is improved by around 1% by using the 2D global max pooling layer. Moreover, a heatmap method to highlight the lesion area on COVID-19 chest CT images is introduced in the paper. This heatmap method is helpful for a radiologist to identify the abnormal pattern of COVID-19 on chest CT images. In addition, we also developed a freely accessible online simulation software for automated COVID-19 detection using CT images. The proposed deep learning models and software tool can be used by radiologist to diagnose COVID-19 more accurately and efficiently.
    MeSH term(s) Humans ; COVID-19/diagnostic imaging ; SARS-CoV-2 ; COVID-19 Testing ; Deep Learning ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2022-10-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2252430-7
    ISSN 1748-6718 ; 1748-670X ; 1027-3662
    ISSN (online) 1748-6718
    ISSN 1748-670X ; 1027-3662
    DOI 10.1155/2022/4509394
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: RECCIPE: A new framework assessing localized cell-cell interaction on gene expression in multicellular ST data.

    Ma, Weiping / Song, Xiaoyu / Yuan, Guo-Cheng / Wang, Pei

    Frontiers in genetics

    2024  Volume 15, Page(s) 1322886

    Abstract: Cell-cell interaction (CCI) plays a pivotal role in cellular communication within the tissue microenvironment. The recent development of spatial transcriptomics (ST) technology and associated data analysis methods has empowered researchers to ... ...

    Abstract Cell-cell interaction (CCI) plays a pivotal role in cellular communication within the tissue microenvironment. The recent development of spatial transcriptomics (ST) technology and associated data analysis methods has empowered researchers to systematically investigate CCI. However, existing methods are tailored to single-cell resolution datasets, whereas the majority of ST platforms lack such resolution. Additionally, the detection of CCI through association screening based on ST data, which has complicated dependence structure, necessitates proper control of false discovery rates due to the multiple hypothesis testing issue in high dimensional spaces. To address these challenges, we introduce RECCIPE, a novel method designed for identifying cell signaling interactions across multiple cell types in spatial transcriptomic data. RECCIPE integrates gene expression data, spatial information and cell type composition in a multivariate regression framework, enabling genome-wide screening for changes in gene expression levels attributed to CCIs. We show that RECCIPE not only achieves high accuracy in simulated datasets but also provides new biological insights from real data obtained from a mouse model of Alzheimer's disease (AD). Overall, our framework provides a useful tool for studying impact of cell-cell interactions on gene expression in multicellular systems.
    Language English
    Publishing date 2024-01-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2024.1322886
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Effect of Yanshen No.1 Recipe on the microinflammatory state in patients with chronic kidney disease.

    Yuan, Guo-Dong / Wang, Ze-Ze / Guo, Ming-Xin / Tan, Jin-Chuan

    Asian journal of surgery

    2024  

    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2024.01.068
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 2831: Show issues Location:
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  6. Article ; Online: Biomechanical response of lower limb joints to lateral wedge insoles

    Weijin Du / Yuan Guo / Chenyan Wang / Weiling Cui / Weiyi Chen / Xiaona Li

    Scientific Reports, Vol 14, Iss 1, Pp 1-

    2024  Volume 12

    Abstract: Abstract Lateral wedge insole (LWI) is a frequently recommended treatment option for early and midterm stages of medial knee osteoarthritis. However, studies of its effects on the lower limb joints are incomplete and imperfect. The main purpose of this ... ...

    Abstract Abstract Lateral wedge insole (LWI) is a frequently recommended treatment option for early and midterm stages of medial knee osteoarthritis. However, studies of its effects on the lower limb joints are incomplete and imperfect. The main purpose of this study was to quantitatively analyze the response of intervention of LWI on lower-limb joint kinematics, ground reaction forces (GRFs), and centre of pressure (COP). Gait analysis of 16 healthy subjects was conducted. Three-dimensional motion data and force plate measurements were collected in the control (barefoot) and experimental conditions (wearing a pair of assigned shoes with 0, 7, and 10 mm LWIs). Results showed that the peak knee flexion angle was increased by 3.43°, 3.09°, and 3.27° with 0, 7, and 10 mm LWIs, respectively (p < 0.01). The ankle peak dorsiflexion angle was significantly decreased by 3.79°, 2.19°, and 1.66° with 0, 7, and 10 mm LWIs, respectively (p = 0.02). The internal rotation angle was increased by 2.78°, 3.76°, and 4.58° with 0, 7, and 10 mm LWIs, respectively (p < 0.01). The forefoot with LWIs showed highly significantly smaller inversion, eversion, and adduction angles (all p < 0.01). The 1st peak of the vertical GRF (p = 0.016) also increased significantly by a maximum of 0.06 body weight (BW) with LWIs. These results indicated that biomechanical changes and limitations of lateral wedges insole should be analyzed in more detail, possibly leading to new guidelines for the design and application.
    Keywords Medicine ; R ; Science ; Q
    Subject code 796
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: A

    Zhao, Yan / Ning, Ya-Lei / Zhou, Yuan-Guo

    International review of neurobiology

    2023  Volume 170, Page(s) 225–265

    Abstract: Accumulating evidence has revealed the adenosine 2A receptor is a key tuner for neuropathological and neurobehavioral changes following traumatic brain injury by experimental animal models and a few clinical trials. Here, we highlight recent data ... ...

    Abstract Accumulating evidence has revealed the adenosine 2A receptor is a key tuner for neuropathological and neurobehavioral changes following traumatic brain injury by experimental animal models and a few clinical trials. Here, we highlight recent data involving acute/sub-acute and chronic alterations of adenosine and adenosine 2A receptor-associated signaling in pathological conditions after trauma, with an emphasis of traumatic brain injury, including neuroinflammation, cognitive and psychiatric disorders, and other severe consequences. We expect this would lead to the development of therapeutic strategies for trauma-related disorders with novel mechanisms of action.
    MeSH term(s) Animals ; Humans ; Brain Injuries, Traumatic ; Adenosine ; Mental Disorders ; Models, Animal
    Chemical Substances Adenosine (K72T3FS567)
    Language English
    Publishing date 2023-08-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209876-3
    ISSN 2162-5514 ; 0074-7742
    ISSN (online) 2162-5514
    ISSN 0074-7742
    DOI 10.1016/bs.irn.2023.07.006
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  8. Article: Targeting the adenosine A

    Zhao, Yan / Zhou, Yuan-Guo / Chen, Jiang-Fan

    Chinese journal of traumatology = Zhonghua chuang shang za zhi

    2023  

    Abstract: Adenosine exerts its dual functions of homeostasis and neuromodulation in the brain by acting at mainly the two G-protein coupled receptors, called ... ...

    Abstract Adenosine exerts its dual functions of homeostasis and neuromodulation in the brain by acting at mainly the two G-protein coupled receptors, called A
    Language English
    Publishing date 2023-08-25
    Publishing country China
    Document type Journal Article ; Review
    ZDB-ID 2276839-7
    ISSN 1008-1275
    ISSN 1008-1275
    DOI 10.1016/j.cjtee.2023.08.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6507: Show issues Location:
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  9. Article ; Online: bacteremia after esophagectomy

    Yu-Yang Jiang / Yi Zhang / Yang Hu / Yuan Guo

    Journal of International Medical Research, Vol

    a case report and literature review

    2023  Volume 51

    Abstract: We report the case of a 68-year-old man who experienced Escherichia fergusonii bacteremia after esophageal cancer surgery. The patient presented with complaints of abdominal pain persisting for 1 week. The patient was diagnosed with esophageal malignancy, ...

    Abstract We report the case of a 68-year-old man who experienced Escherichia fergusonii bacteremia after esophageal cancer surgery. The patient presented with complaints of abdominal pain persisting for 1 week. The patient was diagnosed with esophageal malignancy, which was confirmed by surgical exploration and pathological biopsy. The patient developed septic shock on postoperative day 12, and blood culture suggested the growth of E. fergusonii . After treatment with meropenem, the patient’s clinical symptoms improved significantly, and the second culture was negative. In this paper, we discuss the characteristics, diagnosis, and treatment of E. fergusonii. E. fergusonii is rarely reported, and its pathogenesis, drug resistance, and potential effects have not been completely confirmed. Thus, this case report adds valuable knowledge to the literature on E. fergusonii .
    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: SpatialDWLS: accurate deconvolution of spatial transcriptomic data.

    Dong, Rui / Yuan, Guo-Cheng

    Genome biology

    2021  Volume 22, Issue 1, Page(s) 145

    Abstract: Recent development of spatial transcriptomic technologies has made it possible to characterize cellular heterogeneity with spatial information. However, the technology often does not have sufficient resolution to distinguish neighboring cell types. Here, ...

    Abstract Recent development of spatial transcriptomic technologies has made it possible to characterize cellular heterogeneity with spatial information. However, the technology often does not have sufficient resolution to distinguish neighboring cell types. Here, we present spatialDWLS, to quantitatively estimate the cell-type composition at each spatial location. We benchmark the performance of spatialDWLS by comparing it with a number of existing deconvolution methods and find that spatialDWLS outperforms the other methods in terms of accuracy and speed. By applying spatialDWLS to a human developmental heart dataset, we observe striking spatial temporal changes of cell-type composition during development.
    MeSH term(s) Animals ; Databases, Genetic ; Humans ; Mice ; Myocardium/metabolism ; Software ; Transcriptome/genetics
    Language English
    Publishing date 2021-05-10
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2040529-7
    ISSN 1474-760X ; 1474-760X
    ISSN (online) 1474-760X
    ISSN 1474-760X
    DOI 10.1186/s13059-021-02362-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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