Set of functions designed to simplify transcriptome analysis and identification of marker molecules using microarrays data. The package includes a set of functions that allows performing full pipeline of analysis including data normalization, summarisation, binary classification, FDR (False Discovery Rate) multiple comparison and the definition of potential biological markers.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | caret, gbm, genefilter, graphics, limma, preprocessCore, pROC, stats, SQN |
| Published: | 2019-04-18 |
| Author: | Elena Filatova [aut, cre], Nikolai Sakharnov [dtc], Dmitry Knyazev [dtc], Oleg Utkin [dtc], Blokhina Scientific Research Institute of Epidemiology and Microbiology of Nizhny Novgorod, Russia [fnd] |
| Maintainer: | Elena Filatova <filatova at nniiem.ru> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MiDA results |
| Reference manual: | MiDA.pdf |
| Package source: | MiDA_0.1.2.tar.gz |
| Windows binaries: | r-devel: MiDA_0.1.2.zip, r-release: MiDA_0.1.2.zip, r-oldrel: MiDA_0.1.2.zip |
| macOS binaries: | r-release: MiDA_0.1.2.tgz, r-oldrel: MiDA_0.1.2.tgz |
| Old sources: | MiDA archive |
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