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相关概念视频

Flow Cytometry01:23

Flow Cytometry

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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cytoFlagR:一个全面的框架来客观地评估批量效应的高参数细胞计数据.

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    此摘要是机器生成的。

    cytoFlagR是一个新的R工具,可以在高参数细胞计数据中客观地识别批量效应. 它标记了有问题的批量和标记,改善了纵向研究的数据质量控制.

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    科学领域:

    • 免疫学 免疫学 免疫学
    • 计算生物学 计算生物学
    • 数据科学数据科学数据科学

    背景情况:

    • 高参数细胞计对于纵向研究至关重要.
    • 实验批量的技术变化可能会扭曲生物信号.
    • 在细胞计量数据中识别批量相关问题的客观工具有限.

    研究的目的:

    • 引入cytoFlagR,这是一种用于检测和标记高参数细胞计中的批量效应的新工具.
    • 提供一个客观的方法来控制细胞计量数据分析的质量.

    主要方法:

    • cytoFlagR使用可靠的统计评估来评估批量和标记物变异.
    • 方法包括分析中位信号强度,正细胞频率和地球移动器距离 (EMD).
    • 无监督聚类在质量和光谱细胞测量数据中识别了细胞类型特定的批量问题.

    主要成果:

    • cytoFlagR在标记物和细胞集群水平上有效地标记与批量相关的问题.
    • 该工具证明了使用和不使用参考控制的实用性.
    • 它客观地检测出不同类型的批量问题,提高数据可靠性.

    结论:

    • cytoFlagR显著改善了高参数细胞计数据的质量控制.
    • 通过cytoFlagR对技术变异的客观识别可以防止下游分析的混.
    • 该工具以R脚本的形式免费提供.