ORdensity: Identification of Differentially Expressed Genes

Automated discovery of differentially expressed genes. The method (called ORdensity) is composed of two phases: discovering potential differentially expressed genes and recognizing differentially expressed genes. It makes use of a permutation resampling procedure to build outlying and density indexes. References: a) Irigoien, I. and Arenas, C. (2018). "Identification of differentially expressed genes by means of outlier detection". <doi:10.1186/s12859-018-2318-8>. b) Martínez-Otzeta, J. M., Irigoien, I., Sierra, B., and Arenas, C. (2020). "ORdensity: user-friendly R package to identify differentially expressed genes". <doi:10.1186/s12859-020-3463-4>.

Version: 1.0
Depends: R (≥ 2.10)
Imports: cluster, distances, Rfast, plyr, methods, foreach, doRNG, parallel, doParallel
Published: 2020-05-13
Author: José María Martínez Otzeta, Concepción Arenas, Basilio Sierra, Itziar Irigoien
Maintainer: José María Martínez Otzeta <josemaria.martinezo at ehu.eus>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: ORdensity citation info
CRAN checks: ORdensity results

Downloads:

Reference manual: ORdensity.pdf
Package source: ORdensity_1.0.tar.gz
Windows binaries: r-devel: ORdensity_1.0.zip, r-release: ORdensity_1.0.zip, r-oldrel: ORdensity_1.0.zip
macOS binaries: r-release (arm64): ORdensity_1.0.tgz, r-release (x86_64): ORdensity_1.0.tgz, r-oldrel: ORdensity_1.0.tgz

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