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

Front Neuroinform. 2023 Feb 17:17:1092967. doi: 10.3389/fninf.2023.1092967. eCollection 2023.

Abstract

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.

Keywords: Bayesian networks; machine learning; neuroscience; statistical analysis; supervised classification; unsupervised classification; web application.

Publication types

  • Retracted Publication

Grants and funding

This project had received funding from the European Union's Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreement No. 785907 (HBP SGA3) and from the Spanish Ministry of Science and Innovation through the PID2019-109247GB-I00 project.