Deconvolving cell types from high-throughput gene profiling data. For more information on dtangle see Hunt et al. (2019) <doi:10.1093/bioinformatics/bty926>.
| Version: | 2.0.9 |
| Depends: | R (≥ 3.5.0) |
| Imports: | DEoptimR |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2019-12-01 |
| DOI: | 10.32614/CRAN.package.dtangle |
| Author: | Gregory Hunt [aut, cre], Johann Gagnon-Bartsch [aut] |
| Maintainer: | Gregory Hunt <ghunt at wm.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | dtangle results |
| Reference manual: | dtangle.html , dtangle.pdf |
| Vignettes: |
Basic Deconvolution (source, R code) Basic Deconvolution using dtangle2 (source, R code) |
| Package source: | dtangle_2.0.9.tar.gz |
| Windows binaries: | r-devel: dtangle_2.0.9.zip, r-release: dtangle_2.0.9.zip, r-oldrel: dtangle_2.0.9.zip |
| macOS binaries: | r-release (arm64): dtangle_2.0.9.tgz, r-oldrel (arm64): dtangle_2.0.9.tgz, r-release (x86_64): dtangle_2.0.9.tgz, r-oldrel (x86_64): dtangle_2.0.9.tgz |
| Old sources: | dtangle archive |
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