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scBio: Single Cell Genomics for Enhancing Cell Composition Inference from Bulk Genomics Data

Cellular population mapping (CPM) a deconvolution algorithm in which single-cell genomics is required in only one or a few samples, where in other samples of the same tissue, only bulk genomics is measured and the underlying fine resolution cellular heterogeneity is inferred.

Version: 0.1.6
Depends: R (≥ 2.10)
Imports: sp, foreach, parallel, doSNOW, raster, fields, LiblineaR, limma
Published: 2020-05-20
Author: Amit Frishberg [aut, cre], Naama Peshes-Yaloz [aut], Irit Gat-Viks [aut]
Maintainer: Amit Frishberg <amfrishberg at gmail.com>
BugReports: https://github.com/amitfrish/scBio/issues
License: GPL-2
URL: https://github.com/amitfrish/scBio
NeedsCompilation: no
Citation: scBio citation info
In views: Omics
CRAN checks: scBio results

Documentation:

Reference manual: scBio.pdf

Downloads:

Package source: scBio_0.1.6.tar.gz
Windows binaries: r-devel: scBio_0.1.6.zip, r-release: scBio_0.1.6.zip, r-oldrel: scBio_0.1.6.zip
macOS binaries: r-release (arm64): scBio_0.1.6.tgz, r-oldrel (arm64): scBio_0.1.6.tgz, r-release (x86_64): scBio_0.1.6.tgz, r-oldrel (x86_64): scBio_0.1.6.tgz
Old sources: scBio archive

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.
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