Neuroconductor: an R platform for medical imaging analysis

Muschelli, J., Gherman, A., Fortin, J.P., Avants, B., Whitcher, B., Clayden, J.D., Caffo, B.S. and Crainiceanu, C.M. 2019. Neuroconductor: an R platform for medical imaging analysis. Biostatistics. 20 (2), pp. 218-239. https://doi.org/10.1093/biostatistics/kxx068

TitleNeuroconductor: an R platform for medical imaging analysis
TypeJournal article
AuthorsMuschelli, J., Gherman, A., Fortin, J.P., Avants, B., Whitcher, B., Clayden, J.D., Caffo, B.S. and Crainiceanu, C.M.
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.

KeywordsBioinformatics; Image analysis; Statistical modelling
JournalBiostatistics
Journal citation20 (2), pp. 218-239
ISSN1465-4644
Year2019
PublisherOxford University Press
Accepted author manuscript
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1093/biostatistics/kxx068
Publication dates
Published06 Jan 2018
Published in printApr 2019

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