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BisqueRNA: Decomposition of Bulk Expression with Single-Cell Sequencing

Provides tools to accurately estimate cell type abundances from heterogeneous bulk expression. A reference-based method utilizes single-cell information to generate a signature matrix and transformation of bulk expression for accurate regression based estimates. A marker-based method utilizes known cell-specific marker genes to measure relative abundances across samples. For more details, see Jew and Alvarez et al (2019) <doi:10.1101/669911>.

Version: 1.0.5
Depends: R (≥ 3.5.0)
Imports: Biobase, limSolve, methods, stats
Suggests: Seurat, plyr, knitr, rmarkdown, testthat
Published: 2021-05-23
DOI: 10.32614/CRAN.package.BisqueRNA
Author: Brandon Jew [aut, cre], Marcus Alvarez [aut]
Maintainer: Brandon Jew <brandon.jew at ucla.edu>
BugReports: https://github.com/cozygene/bisque/issues
License: GPL-3
URL: https://www.biorxiv.org/content/10.1101/669911v1
NeedsCompilation: no
Materials: README
In views: Omics
CRAN checks: BisqueRNA results

Documentation:

Reference manual: BisqueRNA.pdf
Vignettes: Bisque Example Usage

Downloads:

Package source: BisqueRNA_1.0.5.tar.gz
Windows binaries: r-devel: BisqueRNA_1.0.5.zip, r-release: BisqueRNA_1.0.5.zip, r-oldrel: BisqueRNA_1.0.5.zip
macOS binaries: r-release (arm64): BisqueRNA_1.0.5.tgz, r-oldrel (arm64): BisqueRNA_1.0.5.tgz, r-release (x86_64): BisqueRNA_1.0.5.tgz, r-oldrel (x86_64): BisqueRNA_1.0.5.tgz
Old sources: BisqueRNA archive

Reverse dependencies:

Reverse suggests: lute, mastR

Linking:

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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.