Brain Predictability toolbox: a Python library for neuroimaging-based machine learning.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
12 07 2021
12 07 2021
Historique:
received:
29
01
2020
revised:
17
08
2020
accepted:
10
11
2020
pubmed:
21
11
2020
medline:
16
7
2021
entrez:
20
11
2020
Statut:
ppublish
Résumé
Brain Predictability toolbox (BPt) represents a unified framework of machine learning (ML) tools designed to work with both tabulated data (e.g. brain derived, psychiatric, behavioral and physiological variables) and neuroimaging specific data (e.g. brain volumes and surfaces). This package is suitable for investigating a wide range of different neuroimaging-based ML questions, in particular, those queried from large human datasets. BPt has been developed as an open-source Python 3.6+ package hosted at https://github.com/sahahn/BPt under MIT License, with documentation provided at https://bpt.readthedocs.io/en/latest/, and continues to be actively developed. The project can be downloaded through the github link provided. A web GUI interface based on the same code is currently under development and can be set up through docker with instructions at https://github.com/sahahn/BPt_app.
Identifiants
pubmed: 33216147
pii: 5995310
doi: 10.1093/bioinformatics/btaa974
pmc: PMC8485846
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1637-1638Subventions
Organisme : NIDA NIH HHS
ID : T32 DA043593
Pays : United States
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Références
Bioinformatics. 2010 May 15;26(10):1340-7
pubmed: 20385727
Front Neuroinform. 2014 Feb 21;8:14
pubmed: 24600388