Showing 121 - 140 results of 2,004 for search '"bioinformatics"', query time: 0.06s Refine Results
  1. 121

    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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    Galaxy @Sciensano: a comprehensive bioinformatics portal for genomics-based microbial typing, characterization, and outbreak detection by Bert Bogaerts, Julien Van Braekel, Alexander Van Uffelen, Jolien D’aes, Maxime Godfroid, Thomas Delcourt, Michael Kelchtermans, Kato Milis, Nathalie Goeders, Sigrid C. J. De Keersmaecker, Nancy H. C. Roosens, Raf Winand, Kevin Vanneste

    Published 2025-01-01
    “…Abstract The influx of whole genome sequencing (WGS) data in the public health and clinical diagnostic sectors has created a need for data analysis methods and bioinformatics expertise, which can be a bottleneck for many laboratories. …”
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    Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis by Da-Qiu Chen, Xiang-Sheng Kong, Xue-Bin Shen, Mao-Zhi Huang, Jian-Ping Zheng, Jing Sun, Shang-Hua Xu

    Published 2019-01-01
    “…To identify the DEGs, integrated bioinformatics analysis and robust rank aggregation (RRA) method were applied. …”
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    Integrative Bioinformatics Analysis Unravel the Association between Intracerebral Hemorrhage and Cellular Apoptosis through Immune Infiltration by Pandi Chen, Gengfan Ye, Jia Li, Kuan Feng, Guangyao Zhu, Maosong Chen, Wei Chen

    Published 2024-01-01
    “…However, the apoptotic mechanisms underlying ICH remain incompletely understood. We employed bioinformatics methods to identify key apoptotic genes associated with ICH, thereby offering potential therapeutic targets and contributing to a deeper understanding of the pathogenic mechanisms of apoptosis in ICH. …”
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