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 2.5 4区医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Frontiers in Neuroinformatics 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。

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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

Frontiers in Neuroinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

CiteScore

4.80

自引率

5.70%

发文量

132

审稿时长

14 weeks

期刊介绍： Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the École Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states. Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.