Showing 21 - 40 results of 1,491 for search '"bioinformatics"', query time: 0.06s Refine Results
  1. 21

    Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing by Marisa P. Dolled-Filhart, Michael Lee, Chih-wen Ou-yang, Rajini Rani Haraksingh, Jimmy Cheng-Ho Lin

    Published 2013-01-01
    “…It has become increasingly apparent that one of the major hurdles in the genomic age will be the bioinformatics challenges of next-generation sequencing. …”
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    Article
  2. 22

    Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis by Fang-Chen Gong, Ran Ji, Yu-Ming Wang, Zhi-Tao Yang, Ying Chen, En-Qiang Mao, Er-Zhen Chen

    Published 2020-01-01
    “…In this study, we aimed to identify key genes involved in the molecular mechanisms of sepsis and search for potential new biomarkers and treatment targets for sepsis using bioinformatics analyses. Three datasets (GSE95233, GSE57065, and GSE28750) associated with sepsis were downloaded from the public functional genomics data repository Gene Expression Omnibus. …”
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  3. 23

    Preliminary screening of new biomarkers for sepsis using bioinformatics and experimental validation. by Hao Wang, Wei Xiong, Wu Zhong, Yingchun Hu

    Published 2025-01-01
    “…<h4>Conclusion</h4>In this study, S100A11, QPCT, and IFITM2 were screened as new potential biomarkers for sepsis. Validated by bioinformatics analysis and qPCR, these genes are closely associated with the prognosis of sepsis patients and have potential as diagnostic and therapeutic targets.…”
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    Comprehensive Bioinformatics Method to Explore Immune-Related Genes in the Pathogenesis of Myocardial Infarction by Xin Zhang, Yiren Yao, Ying Ding, Wenting Yan, Yang Gu, Xiwen Zhang, Xiaojin Xu

    Published 2025-01-01
    “…Objective: This study was aimed at exploring immune-related genes and their expression changes in myocardial infarction (MI) through comprehensive bioinformatics methods and validating these genes as potential diagnostic and therapeutic targets. …”
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    Characterization of gene expression profiles in Alzheimer's disease and osteoarthritis: A bioinformatics study. by Nian Liu, Qian Deng, Zining Peng, Danning Mao, Yuanbo Huang, Fanyu Meng, Xiaoyu Zhang, Jiayan Shen, Zhaofu Li, Weitian Yan, Jiangyun Peng

    Published 2025-01-01
    “…This study explores the potential common molecular mechanisms between AD and OA through bioinformatics analysis, providing new insights for clinical treatment strategies.…”
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    Article
  14. 34

    Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning by ZhanQiang Xie, YongLi Situ, Li Deng, Meng Liang, Hang Ding, Zhen Guo, QinYing Xu, Zhu Liang, Zheng Shao

    Published 2025-01-01
    “…This study aimed to identify potential therapeutic targets for the treatment of AD using comprehensive bioinformatics methods and machine learning algorithms. …”
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    Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis by Chuan Xu, Jiajun Chen, Xia Xu, Yingyu Zhang, Jia Li

    Published 2018-01-01
    “…The objective is to search potential therapeutic drugs for Parkinson’s disease based on data mining and bioinformatics analysis and providing new ideas for research studies on “new application of conventional drugs.” …”
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    Article
  18. 38

    Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis by Rui-Qi Wei, Wen-Mei Zhang, Zhe Liang, Chunmei Piao, Guangfa Zhu

    Published 2022-01-01
    “…We elucidated potential biomarkers and therapeutic targets for PAH by bioinformatic analysis, which provides a theoretical basis for future study.…”
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    Integrated bioinformatics analysis of the effects of chronic pain on patients with spinal cord injury by Jinlong Zhang, Jinlong Zhang, Longju Qi, Yuyu Sun, Yuyu Sun, Shiyuan Chen, Jinyi Liu, Jiaxi Chen, Fangsu Yan, Wenqi Wang, Qinghua Wang, Liang Chen

    Published 2025-02-01
    “…To address this, we conducted bioinformatics and systems biology analyses to identify molecular biomarkers and pathways that link SCI to chronic pain. …”
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    Article