InteRD: The Integrated and Robust Deconvolution

We developed the Integrated and Robust Deconvolution algorithm to infer cell-type proportions from target bulk RNA-seq data. This package is able to effectively integrate deconvolution results from multiple scRNA-seq datasets and calibrates estimates from reference-based deconvolution by taking into account extra biological information as priors. Moreover, the proposed algorithm is robust to inaccurate external information imposed in the deconvolution system.

Version:	0.1.1
Depends:	R (≥ 3.5.0), Biobase
Imports:	Rcpp (≥ 0.11.0), limSolve, cowplot, ggplot2, pheatmap, stats, DescTools, mgcv, reshape2
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2022-08-12
Author:	Chixiang Chen [cre, aut], Yuk Yee Leung [aut], Matei Lonita [aut], Li-San Wang [aut], Mingyao Li [aut]
Maintainer:	Chixiang Chen <chencxxy at hotmail.com>
BugReports:	https://github.com/chencxxy28/InteRD/issues
License:	Artistic-2.0
URL:	https://github.com/chencxxy28/InteRD
NeedsCompilation:	no
Materials:	README NEWS
In views:	Omics
CRAN checks:	InteRD results

Documentation:

Reference manual:	InteRD.pdf
Vignettes:	InteRD

Downloads:

Package source:	InteRD_0.1.1.tar.gz
Windows binaries:	r-devel: InteRD_0.1.1.zip, r-release: InteRD_0.1.1.zip, r-oldrel: InteRD_0.1.1.zip
macOS binaries:	r-release (arm64): InteRD_0.1.1.tgz, r-oldrel (arm64): InteRD_0.1.1.tgz, r-release (x86_64): InteRD_0.1.1.tgz, r-oldrel (x86_64): InteRD_0.1.1.tgz
Old sources:	InteRD archive

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