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通过可视化技术和工具探索RNA-Seq数据分析:对临床应用的机会和局限性的系统审查
Farhana Manzoor1, Cyruss A Tsurgeon2, Vibhuti Gupta1
1Department of Computer Science and Data Science, School of Applied Computational Sciences, Meharry Medical College, Nashville, TN 37208, USA.
Bioengineering (Basel, Switzerland)
|January 24, 2025
概括
本综述调查了用于临床应用的RNA测序 (RNA-seq) 可视化工具. 它强调单细胞RNA-seq是最可视化的数据类型,有助于疾病诊断和预后.
科学领域:
- 基因组学和生物信息学
- 生物医学数据可视化
- 临床转录组学 临床转录组学
背景情况:
- 在临床研究中,RNA测序 (RNA-seq) 对于基因表达分析至关重要.
- 需要有效的可视化工具来解释复杂的RNA-seq数据以获得临床见解.
- 了解基因表达模式有助于诊断和预测疾病的结果.
研究的目的:
- 审查当前的数据可视化技术和RNA测序 (RNA-seq) 分析在临床环境中的工具.
- 评估现有的可视化方法的好处,应用和限制.
- 为研究人员和临床医生提供利用RNA-seq数据的资源.
主要方法:
- 2017年至2024年间发表的研究的系统文献综述.
- 在PubMed,Scopus,Web of Science和IEEE Xplore数据库中进行的搜索.
- 从最初的126项确定中,包括了33项符合PRISMA指南的研究.
主要成果:
- 单细胞RNA-seq数据可视化是最常见的 (56%的研究).
- 还分析了大量RNA-seq数据 (23%) 和循环RNA-seq数据 (18%).
- 长时间的非编码RNA-seq数据可视化是最不常见的 (3%的研究).
结论:
- 有各种可视化工具可用于RNA-seq数据分析.
- 单细胞RNA-seq可视化是临床应用的一个关键领域.
- 本综述提供了一个全面的概述,以指导在临床研究中使用RNA-seq可视化.
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