permGPU: Using GPUs in Statistical Genomics

Can be used to carry out permutation resampling inference in the context of RNA microarray studies.

Version: 0.14.9
Depends: R (≥ 2.15.3), Biobase (≥ 2.18.0), RUnit (≥ 0.4.26), foreach (≥ 1.4.2), survival (≥ 2.37-7), methods
OS_type: unix
Published: 2016-02-23
Author: Ivo D. Shterev [aut, cre], Kouros Owzar [aut], Sin-Ho Jung [aut], Stephen L. George [aut], Brian J. Smith [ctb, cph] (wrote original version of file), Kenneth Wilder [ctb, cph] (wrote ranker.h), Romain Francois [ctb, cph] (wrote original version of cleanup file), Dirk Eddelbuettel [ctb, cph] (wrote original version of cleanup file)
Maintainer: Ivo D. Shterev <i.shterev at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: Nvidia's CUDA toolkit (>= release 6.0)
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: permGPU results


Reference manual: permGPU.pdf
Package source: permGPU_0.14.9.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available
Old sources: permGPU archive


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