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Streamlined workflow from deconvolution of bulk RNA-seq data to downstream differential expression and gene-set enrichment analysis. Provide various visualization functions.
Version: | 1.0.0 |
Depends: | dplyr, edgeR, foreach, ggplot2, R (≥ 2.10), Seurat |
Imports: | data.table, gtools, harmony, MASS, Matrix, NMF, reshape2, Biobase, mgcv, grDevices, glmGamPoi |
Suggests: | FARDEEP, reticulate, plotly, DESeq2, knitr, limma, nnls, preprocessCore, rmarkdown, scater, scran, SingleCellExperiment, doFuture, future, sctransform, Linnorm |
Published: | 2024-03-22 |
DOI: | 10.32614/CRAN.package.SCdeconR |
Author: | Yuanhang Liu [aut, cre] |
Maintainer: | Yuanhang Liu <liu.yuanhang at mayo.edu> |
License: | GPL (≥ 3) |
URL: | https://github.com/Liuy12/SCdeconR/, https://liuy12.github.io/SCdeconR/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | SCdeconR results |
Reference manual: | SCdeconR.pdf |
Package source: | SCdeconR_1.0.0.tar.gz |
Windows binaries: | r-devel: SCdeconR_1.0.0.zip, r-release: SCdeconR_1.0.0.zip, r-oldrel: SCdeconR_1.0.0.zip |
macOS binaries: | r-release (arm64): SCdeconR_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): SCdeconR_1.0.0.tgz, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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