A fold change rank based method is presented to search for differentially expressed genes and to detect recurrent chromosomal copy number aberrations. This method may be useful for high-throughput biological data (microarray, sequencing, ...). Probabilities are associated with genes/probes in the dataset and there is no problem of multiple tests when using this method. For aCGH data, segmentation results are obtained by merging the significant probes detected.
| Version: | 1.5.2 |
| Depends: | R (≥ 2.10) |
| Published: | 2016-11-17 |
| Author: | Doulaye Dembele |
| Maintainer: | Doulaye Dembele <doulaye at igbmc.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | fcros results |
| Reference manual: | fcros.pdf |
| Package source: | fcros_1.5.2.tar.gz |
| Windows binaries: | r-devel: fcros_1.5.2.zip, r-release: fcros_1.5.2.zip, r-oldrel: fcros_1.5.zip |
| OS X Mavericks binaries: | r-release: fcros_1.5.2.tgz, r-oldrel: fcros_1.5.tgz |
| Old sources: | fcros archive |
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