Frequencyto：流式细胞仪的网络分析
Freecyto: Quantized Flow Cytometry Analysis for the Web
摘要：
流式细胞术（FCM）是一种分析技术，能够检测和记录群体中细胞或颗粒的荧光发射和光散射（统称为“事件”）。一个典型的FCM实验可以产生大量的数据，使分析计算密集型。目前的FCM数据分析平台（FlowJo等），虽然非常有用，但由于数据大小的限制，不允许在线交互式数据处理。在这里，我们报告了一种更有效的方法来分析FCM数据。Freescento是一个免费的，易于学习的，基于Python烧瓶的Web应用程序，它使用加权k均值聚类算法来促进流式细胞术数据的交互式分析。Web浏览器的一个关键限制是它们无法交互式地显示大量数据。Freecycle to通过使用k-means算法来处理数据来解决这一瓶颈，允许用户访问一组代表性的数据点，以实现复杂数据集的交互式可视化。此外，Freecycle to支持对大型复杂数据集进行交互式分析，同时保留标准FCM可视化功能，例如生成散点图（点图），直方图，热图，箱线图以及基于SQL的子群体门控功能。我们还表明，Frequentto可以应用于分析各种实验设置，经常需要使用FCM。最后，我们证明，数据的准确性是保留时，Freetto相比，传统的FCM软件。
英文摘要：
Flow cytometry (FCM) is an analytic technique that is capable of detecting and recording the emission of fluorescence and light scattering of cells or particles (that are collectively called "events") in a population. A typical FCM experiment can produce a large array of data making the analysis computationally intensive. Current FCM data analysis platforms (FlowJo, etc.), while very useful, do not allow interactive data processing online due to the data size limitations. Here we report a more effective way to analyze FCM data. Freecyto is a free, easy-to-learn, Python-flask-based web application that uses a weighted k-means clustering algorithm to facilitate the interactive analysis of flow cytometry data. A key limitation of web browsers is their inability to interactively display large amounts of data. Freecyto addresses this bottleneck through the use of the k-means algorithm to quantize the data, allowing the user to access a representative set of data points for interactive visualization of complex datasets. Moreover, Freecyto enables the interactive analyses of large complex datasets while preserving the standard FCM visualization features, such as the generation of scatterplots (dotplots), histograms, heatmaps, boxplots, as well as a SQL-based sub-population gating feature. We also show that Freecyto can be applied to the analysis of various experimental setups that frequently require the use of FCM. Finally, we demonstrate that the data accuracy is preserved when Freecyto is compared to conventional FCM software.
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