Showing 81 - 100 results of 1,491 for search '"bioinformatics"', query time: 0.08s Refine Results
  1. 81

    Integrated Bioinformatics-Based Identification of Potential Diagnostic Biomarkers Associated with Diabetic Foot Ulcer Development by Long Qian, Zhipeng Xia, Ming Zhang, Qiong Han, Die Hu, Sha Qi, Danmou Xing, Yan Chen, Xin Zhao

    Published 2021-01-01
    “…Together, the findings of these bioinformatics analyses thus identified key hub genes associated with DFU development.…”
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    Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

    Published 2025-02-01
    “…This study aims to explore the relationship between sepsis and the Golgi apparatus using bioinformatics, offering fresh insights into its diagnosis and treatment.MethodsTo explore the role of Golgi-related genes in sepsis, we analyzed mRNA expression profiles from the NCBI GEO database. …”
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    Advances in bioinformatics and multi-omics integration: transforming viral infectious disease research in veterinary medicine by Alyaa Elrashedy, Walid Mousa, Mohamed Nayel, Akram Salama, Ahmed Zaghawa, Ahmed Elsify, Mohamed E. Hasan

    Published 2025-01-01
    “…Therefore, there is an urgent need for a novel bioinformatics approach to help decipher and model viral epidemiology and informatics on domestic animals and livestock. …”
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    Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses by Bin Zhao, Dan Wang, Yanling Liu, Xiaohong Zhang, Zheng Wan, Jinling Wang, Ting Su, Linshan Duan, Yan Wang, Yuehua Zhang, Yilin Zhao

    Published 2020-01-01
    “…However, fewer studies focused on both genes and immune cells, and the correlation of genes and immune cells was evaluated via comprehensive bioinformatics analyses. Methods. 29 samples of atherosclerosis-related gene expression profiling, including 16 human advanced atherosclerosis plaque (AA) and 13 human early atherosclerosis plaque (EA) samples from the Gene Expression Omnibus (GEO) database, were analyzed to get differentially expressed genes (DEGs) and the construction of protein and protein interaction (PPI) networks. …”
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    Genetic Biomarkers and Circulating White Blood Cells in Osteoarthritis: A Bioinformatics and Mendelian Randomization Analysis by Yimin Pan, Xiaoshun Sun, Jun Tan, Chao Deng, Changwu Wu, Georg Osterhoff, Nikolas Schopow

    Published 2025-01-01
    “…The bioinformatics methods utilized include the Limma package, WGCNA, PPI network analysis, and machine learning algorithms. …”
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