Provides a systematic framework for integrating multiple modalities of assays profiled on the same set of samples. The goal is to identify genes that are altered in cancer either marginally or consistently across different assays. The heterogeneity among different platforms and different samples are automatically adjusted so that the overall alteration magnitude can be accurately inferred. See Tong and Coombes (2012) <doi:10.1093/bioinformatics/bts561>.
| Version: | 1.0.6 |
| Depends: | R (≥ 2.10), ltm, foreach, doParallel |
| Imports: | mclust, MASS, abind |
| Suggests: | KernSmooth |
| Published: | 2019-05-06 |
| Author: | Pan Tong, Kevin R Coombes |
| Maintainer: | Kevin R. Coombes <krc at silicovore.com> |
| License: | Apache License (== 2.0) |
| URL: | http://oompa.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| CRAN checks: | integIRTy results |
| Reference manual: | integIRTy.pdf |
| Vignettes: |
integIRTy Vignette |
| Package source: | integIRTy_1.0.6.tar.gz |
| Windows binaries: | r-devel: integIRTy_1.0.6.zip, r-release: integIRTy_1.0.6.zip, r-oldrel: integIRTy_1.0.6.zip |
| macOS binaries: | r-release: integIRTy_1.0.6.tgz, r-oldrel: integIRTy_1.0.6.tgz |
| Old sources: | integIRTy archive |
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