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PBNPA: Permutation Based Non-Parametric Analysis of CRISPR Screen Data

Permutation based non-parametric analysis of CRISPR screen data. Details about this algorithm are published in the following paper published on BMC genomics, Jia et al. (2017) <doi:10.1186/s12864-017-3938-5>: A permutation-based non-parametric analysis of CRISPR screen data. Please cite this paper if you use this algorithm for your paper.

Version: 0.0.3
Depends: R (≥ 2.15.0), metaRNASeq
Published: 2018-05-15
Author: Gaoxiang Jia [aut, cre], Guanghua Xiao [aut], Xinlei Wang [aut]
Maintainer: Gaoxiang Jia <GJia at SMU.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: PBNPA results

Documentation:

Reference manual: PBNPA.pdf

Downloads:

Package source: PBNPA_0.0.3.tar.gz
Windows binaries: r-devel: PBNPA_0.0.3.zip, r-release: PBNPA_0.0.3.zip, r-oldrel: PBNPA_0.0.3.zip
macOS binaries: r-release (arm64): PBNPA_0.0.3.tgz, r-oldrel (arm64): PBNPA_0.0.3.tgz, r-release (x86_64): PBNPA_0.0.3.tgz, r-oldrel (x86_64): PBNPA_0.0.3.tgz
Old sources: PBNPA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PBNPA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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