神经套件:运行神经科学、统计和机器学习工具的在线平台。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2023-02-17 eCollection Date: 2023-01-01 DOI:10.3389/fninf.2023.1092967
José Luis Moreno-Rodríguez, Pedro Larrañaga, Concha Bielza
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引用次数: 0

摘要

如今,神经科学领域有大量的高维数据。处理这些数据非常复杂,需要使用高效的工具将其转化为有用的知识。在这项工作中,我们介绍了 NeuroSuites,这是一个具有自己架构的易于访问的网络平台。我们将我们的平台与目前可用的其他软件进行了比较,突出了其主要优势。得益于其定义的架构,它能够处理一些神经科学领域常见的大规模问题。NeuroSuites 拥有不同的面向神经科学的应用和工具,可整合该领域常用的统计数据分析和机器学习算法。作为未来的工作,我们希望进一步扩大可用软件工具的列表,并根据用户需求改进平台界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools.

NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools.

NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools.

NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools.

Nowadays, an enormous amount of high dimensional data is available in the field of neuroscience. Handling these data is complex and requires the use of efficient tools to transform them into useful knowledge. In this work we present NeuroSuites, an easy-access web platform with its own architecture. We compare our platform with other software currently available, highlighting its main strengths. Thanks to its defined architecture, it is able to handle large-scale problems common in some neuroscience fields. NeuroSuites has different neuroscience-oriented applications and tools to integrate statistical data analysis and machine learning algorithms commonly used in this field. As future work, we want to further expand the list of available software tools as well as improve the platform interface according to user demands.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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