Search Results - "Zhang, Xuanping"

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  1. 1

    Health improvements of type 2 diabetic patients through diet and diet plus fecal microbiota transplantation by Su, Lili, Hong, Zhifan, Zhou, Tong, Jian, Yuanyuan, Xu, Mei, Zhang, Xuanping, Zhu, Xiaoyan, Wang, Jiayin

    Published in Scientific reports (21-01-2022)
    “…Type 2 diabetes (T2D) is a major public health problem, and gut microbiota dysbiosis has been implicated in the emergence of T2D in humans. Dietary…”
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    Cost-Effectiveness of Interventions to Prevent and Control Diabetes Mellitus: A Systematic Review by RUI LI, PING ZHANG, BARKER, Lawrence E, CHOWDHURY, Farah M, XUANPING ZHANG

    Published in Diabetes care (01-08-2010)
    “…To synthesize the cost-effectiveness (CE) of interventions to prevent and control diabetes, its complications, and comorbidities. We conducted a systematic…”
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  4. 4

    An independent evaluation in a CRC patient cohort of microbiome 16S rRNA sequence analysis methods: OTU clustering, DADA2, and Deblur by Liu, Guang, Li, Tong, Zhu, Xiaoyan, Zhang, Xuanping, Wang, Jiayin

    Published in Frontiers in microbiology (25-07-2023)
    “…16S rRNA is the universal gene of microbes, and it is often used as a target gene to obtain profiles of microbial communities via next-generation sequencing…”
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  5. 5

    A Chinese multicenter retrospective study of isolated increased nuchal translucency associated chromosome anomaly and prenatal diagnostic suggestions by Jin, Hua, Wang, Juan, Zhang, Guoying, Jiao, Hongyan, Zhu, Jiansheng, Li, Zhimin, Chen, Chen, Zhang, XuanPing, Huang, Huan, Wang, JiaYin

    Published in Scientific reports (10-03-2021)
    “…Extensive researches involving fetuses with multiple ultrasound anomalies have been conducted over the years, but only few were focused on the isolated…”
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    OCRDetector: Accurately Detecting Open Chromatin Regions via Plasma Cell-Free DNA Sequencing Data by Wang, Jiayin, Chen, Liubin, Zhang, Xuanping, Tong, Yao, Zheng, Tian

    “…Open chromatin regions (OCRs) are special regions of the human genome that can be accessed by DNA regulatory elements. Several studies have reported that a…”
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    A1C Level and Future Risk of Diabetes: A Systematic Review by Zhang, Xuanping, Gregg, Edward W, Williamson, David F, Barker, Lawrence E, Thomas, William, Bullard, Kai McKeever, Imperatore, Giuseppina, Williams, Desmond E, Albright, Ann L

    Published in Diabetes care (01-07-2010)
    “…We examined ranges of A1C useful for identifying persons at high risk for diabetes prior to preventive intervention by conducting a systematic review. From 16…”
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  8. 8

    An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data by Zhang, Xuanping, Wang, Yidan, Zhao, Zhongmeng, Wang, Jiayin

    “…Circular RNA (circRNA) is an important member of non-coding RNA family. Numerous computational methods for detecting circRNAs from RNA-seq data have been…”
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  9. 9

    TCRcost: a deep learning model utilizing TCR 3D structure for enhanced of TCR-peptide binding by Li, Fan, Qian, Xinyang, Zhu, Xiaoyan, Lai, Xin, Zhang, Xuanping, Wang, Jiayin

    Published in Frontiers in genetics (02-10-2024)
    “…Predicting TCR-peptide binding is a complex and significant computational problem in systems immunology. During the past decade, a series of computational…”
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  10. 10

    Downregulation of cytokeratin 18 induces cellular partial EMT and stemness through increasing EpCAM expression in breast cancer by Shi, Ruizan, Liu, Linhong, Wang, Fengge, He, Yifan, Niu, Yanan, Wang, Chang, Zhang, Xuanping, Zhang, Xiuli, Zhang, Huifeng, Chen, Min, Wang, Yan

    Published in Cellular signalling (01-12-2020)
    “…Induction of epithelial-mesenchymal transition (EMT) and cancer stem cell (CSC) characteristics underlie the development of metastasis, chemoresistance, and…”
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    Hesperetin inhibits rat coronary constriction by inhibiting Ca2+ influx and enhancing voltage-gated K+ channel currents of the myocytes by Liu, Yu, Niu, Longgang, Cui, Lijuan, Hou, Xiaomin, Li, Jiangtao, Zhang, Xuanping, Zhang, Mingsheng

    Published in European journal of pharmacology (15-07-2014)
    “…Hesperetin (HSP, one of the most common flavonoids in Citrus) has been reported to possess many benificial effects and is indicated for many diseases both as a…”
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    Improved diagnostic efficiency of CRC subgroups revealed using machine learning based on intestinal microbes by Liu, Guang, Su, Lili, Kong, Cheng, Huang, Liang, Zhu, Xiaoyan, Zhang, Xuanping, Ma, Yanlei, Wang, Jiayin

    Published in BMC gastroenterology (17-09-2024)
    “…Colorectal cancer (CRC) is a common cancer that causes millions of deaths worldwide each year. At present, numerous studies have confirmed that intestinal…”
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    DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection by Xu, Ying, Qian, Xinyang, Zhang, Xuanping, Lai, Xin, Liu, Yuqian, Wang, Jiayin

    Published in Frontiers in genetics (11-04-2022)
    “…Recent studies highlight the potential of T cell receptor (TCR) repertoires in accurately detecting cancers noninvasive sampling. Unfortunately, due to the…”
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    Health Care Providers’ Knowledge, Attitudes, and Practices and the Association With Referrals to the National Diabetes Prevention Program Lifestyle Change Program by Hulbert, LaShonda R., Zhang, Xuanping, Ng, Boon Peng, Nhim, Kunthea, Khan, Tamkeen, Cannon, Michael J.

    Published in American journal of health promotion (01-02-2022)
    “…Purpose To examine how health care providers’ knowledge, attitudes, and practices affect their referrals to the National Diabetes Prevention Program. Design…”
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    TMBcat: A multi-endpoint p-value criterion on different discrepancy metrics for superiorly inferring tumor mutation burden thresholds by Wang, Yixuan, Lai, Xin, Wang, Jiayin, Xu, Ying, Zhang, Xuanping, Zhu, Xiaoyan, Liu, Yuqian, Shao, Yang, Zhang, Li, Fang, Wenfeng

    Published in Frontiers in immunology (16-09-2022)
    “…Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the efficacy of immunotherapy; however, the number and universal…”
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  17. 17

    DeepLION2: deep multi-instance contrastive learning framework enhancing the prediction of cancer-associated T cell receptors by attention strategy on motifs by Qian, Xinyang, Yang, Guang, Li, Fan, Zhang, Xuanping, Zhu, Xiaoyan, Lai, Xin, Xiao, Xiao, Wang, Tao, Wang, Jiayin

    Published in Frontiers in immunology (07-03-2024)
    “…T cell receptor (TCR) repertoires provide valuable insights into complex human diseases, including cancers. Recent advancements in immune sequencing technology…”
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    Clinicopathological differences of high Fusobacterium nucleatum levels in colorectal cancer: A review and meta-analysis by Wang, Yi, Wen, Yuting, Wang, Jiayin, Lai, Xin, Xu, Ying, Zhang, Xuanping, Zhu, Xiaoyan, Ruan, Chenglin, Huang, Yao

    Published in Frontiers in microbiology (04-11-2022)
    “…Objective To systematically evaluate the significance of Fusobacterium nucleatum (Fn) levels the clinicopathological impacts of cancer. Methods Literature from…”
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    Integration of Protein-Protein Interaction Networks and Gene Expression Profiles Helps Detect Pancreatic Adenocarcinoma Candidate Genes by Su, Lili, Liu, Guang, Guo, Ying, Zhang, Xuanping, Zhu, Xiaoyan, Wang, Jiayin

    Published in Frontiers in genetics (26-05-2022)
    “…More and more cancer-associated genes (CAGs) are being identified with the development of biological mechanism research. Integrative analysis of…”
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    What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort by Liu, Yuqian, Wang, Shenjie, Wang, Yixuan, Li, Yifei, Zhu, Xiaoyan, Lai, Xin, Zhang, Xuanping, Li, Xuqi, Xiao, Xiao, Wang, Jiayin

    Published in Frontiers in immunology (25-05-2023)
    “…Tumor mutation burden (TMB) is a widely recognized biomarker for predicting the efficacy of immunotherapy. However, its use still remains highly controversial…”
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