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 |
| 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: ORdensity_1.0.tgz, r-oldrel: ORdensity_1.0.tgz |
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