URL: http://www.mlnl.cs.ucl.ac.uk/pronto/
Proper Citation: PRoNTo (RRID:SCR_006908)
Description: A software toolbox based on pattern recognition techniques for the analysis of neuroimaging data. Statistical pattern recognition is a field within the area of machine learning which is concerned with automatic discovery of regularities in data through the use of computer algorithms, and with the use of these regularities to take actions such as classifying the data into different categories. In PRoNTo, brain scans are treated as spatial patterns and statistical learning models are used to identify statistical properties of the data that can be used to discriminate between experimental conditions or groups of subjects (classification models) or to predict a continuous measure (regression models).
Abbreviations: PRoNTo
Synonyms: PRoNTo (Pattern Recognition for Neuroimaging Toolbox), Pattern Recognition for Neuroimaging Toolbox, PRoNTo - Pattern Recognition for Neuroimaging Tool
Resource Type: data analytics software, data processing software, image analysis software, software application, software resource, software toolkit
Keywords: reusable library, clinical neuroinformatics, matlab, magnetic resonance, nifti, os independent, pet, spect, neuroimaging, pattern recognition
Availability: GNU General Public License
Resource Name: PRoNTo
Resource ID: SCR_006908
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400