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首页> 外文期刊>NeuroImage >Image analysis and statistical inference in neuroimaging with R.
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Image analysis and statistical inference in neuroimaging with R.

机译:R对神经影像的图像分析和统计推断。

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摘要

R is a language and environment for statistical computing and graphics. It can be considered an alternative implementation of the S language developed in the 1970s and 1980s for data analysis and graphics (Becker and Chambers, 1984; Becker et al., 1988). The R language is part of the GNU project and offers versions that compile and run on almost every major operating system currently available. We highlight several R packages built specifically for the analysis of neuroimaging data in the context of functional MRI, diffusion tensor imaging, and dynamic contrast-enhanced MRI. We review their methodology and give an overview of their capabilities for neuroimaging. In addition we summarize some of the current activities in the area of neuroimaging software development in R.
机译:R是用于统计计算和图形的语言和环境。它可以被认为是1970年代和1980年代开发的用于数据分析和图形学的S语言的替代实现(Becker和Chambers,1984; Becker等,1988)。 R语言是GNU项目的一部分,并提供可在当前可用的几乎所有主要操作系统上编译并运行的版本。我们重点介绍了几个R软件包,这些软件包是专门为在功能性MRI,扩散张量成像和动态对比增强MRI的背景下分析神经影像数据而构建的。我们回顾了他们的方法,并概述了他们的神经成像能力。此外,我们总结了R中神经影像软件开发领域的一些当前活动。

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