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InTool Explorer: An Interactive Exploratory Analysis Tool for Versatile Visualizations of Neuroscientific Data

机译:InTool Explorer:用于神经科学数据的通用可视化的交互式探索性分析工具

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摘要

The bottleneck for progress in many research areas within neuroscience has shifted from the data acquisition to the data analysis stages. In the present article, we propose a method named InTool Explorer that we have developed to perform interactive exploratory data analysis, focusing on neuroanatomy as an example of its utility. This tool is freely-available software that has been designed to facilitate the study of complex neuroscience data. InTool Explorer requires no more than an internet connection and a web browser. The main contribution of this tool is to provide a user-designed canvas for data visualization and interaction, to perform specific exploratory tasks according to the user needs. Moreover, InTool Explorer permits visualization of the datasets in a very dynamic and versatile way using a linked-card approach. For this purpose, the tool allows the user to select among different predefined card types. Each card type offers an abstract data representation, a filtering tool or a set of statistical analysis methods. Additionally, InTool Explorer makes it possible linking raw images to the data. These images can be used by InTool Explorer to define new customized filtering cards. Another significant contribution of this tool is that it allows fast visualization of the data, error finding, and re-evaluation to establish new hypotheses or new lines of research. Thus, regarding its practical application in the laboratory, InTool Explorer provides a new opportunity to study and analyze neuroscience data prior to any statistical analysis being carried out.
机译:在神经科学许多研究领域中,取得进展的瓶颈已从数据获取阶段转移到了数据分析阶段。在本文中,我们提出了一种名为InTool Explorer的方法,该方法已开发用于执行交互式探索性数据分析,重点是神经解剖学,作为其实用程序的一个示例。该工具是免费提供的软件,旨在方便复杂神经科学数据的研究。 InTool Explorer仅需要Internet连接和Web浏览器。该工具的主要作用是为数据可视化和交互提供用户设计的画布,以根据用户需求执行特定的探索性任务。此外,InTool Explorer允许使用链接卡方法以非常动态和通用的方式可视化数据集。为此,该工具允许用户在不同的预定义卡类型中进行选择。每种卡类型都提供抽象的数据表示形式,过滤工具或一组统计分析方法。此外,InTool Explorer还可以将原始图像链接到数据。 InTool Explorer可以使用这些图像来定义新的自定义过滤卡。此工具的另一个重要贡献是,它允许快速可视化数据,发现错误和重新评估以建立新的假设或新的研究思路。因此,关于其在实验室中的实际应用,InTool Explorer提供了在进行任何统计分析之前研究和分析神经科学数据的新机会。

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