Format

Send to

Choose Destination
Biostatistics. 2019 Apr 1;20(2):218-239. doi: 10.1093/biostatistics/kxx068.

Neuroconductor: an R platform for medical imaging analysis.

Author information

1
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, USA.
2
Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA.
3
Klarismo Ltd, London, UK and Department of Mathematics, Imperial College London, London, UK.
4
Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, UK.

Abstract

Neuroconductor (https://neuroconductor.org) is an open-source platform for rapid testing and dissemination of reproducible computational imaging software. The goals of the project are to: (i) provide a centralized repository of R software dedicated to image analysis, (ii) disseminate software updates quickly, (iii) train a large, diverse community of scientists using detailed tutorials and short courses, (iv) increase software quality via automatic and manual quality controls, and (v) promote reproducibility of image data analysis. Based on the programming language R (https://www.r-project.org/), Neuroconductor starts with 51 inter-operable packages that cover multiple areas of imaging including visualization, data processing and storage, and statistical inference. Neuroconductor accepts new R package submissions, which are subject to a formal review and continuous automated testing. We provide a description of the purpose of Neuroconductor and the user and developer experience.

KEYWORDS:

Bioinformatics; Image analysis; Statistical modelling

PMID:
29325029
PMCID:
PMC6409417
[Available on 2020-04-01]
DOI:
10.1093/biostatistics/kxx068

Supplemental Content

Full text links

Icon for Silverchair Information Systems
Loading ...
Support Center