Furcila Diana, García Marcos, Toader Cosmin, Morales Juan, LaTorre Antonio, Rodríguez Ángel, Pastor Luis, DeFelipe Javier, Alonso-Nanclares Lidia
Laboratorio Cajal de Circuitos Corticales (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.
Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
Front Neuroanat. 2019 Mar 11;13:28. doi: 10.3389/fnana.2019.00028. eCollection 2019.
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.
神经科学许多研究领域的进展瓶颈已从数据采集阶段转移到数据分析阶段。在本文中,我们提出了一种名为InTool Explorer的方法,这是我们为进行交互式探索性数据分析而开发的,以神经解剖学为例展示其效用。该工具是免费软件,旨在促进对复杂神经科学数据的研究。InTool Explorer只需要互联网连接和网络浏览器。该工具的主要贡献在于为数据可视化和交互提供一个用户设计的画布,根据用户需求执行特定的探索性任务。此外,InTool Explorer使用链接卡片方法以非常动态和通用的方式允许对数据集进行可视化。为此,该工具允许用户在不同的预定义卡片类型中进行选择。每种卡片类型都提供一种抽象的数据表示、一个过滤工具或一组统计分析方法。此外,InTool Explorer使原始图像与数据的链接成为可能。这些图像可被InTool Explorer用于定义新的定制过滤卡片。该工具的另一个重要贡献是它允许快速可视化数据、发现错误并重新评估以建立新的假设或新的研究方向。因此,就其在实验室中的实际应用而言,InTool Explorer在进行任何统计分析之前为研究和分析神经科学数据提供了一个新机会。
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