ComICS: Computational Methods for Immune Cell-Type Subsets

Provided are Computational methods for Immune Cell-type Subsets, including:(1) DCQ (Digital Cell Quantifier) to infer global dynamic changes in immune cell quantities within a complex tissue; and (2) VoCAL (Variation of Cell-type Abundance Loci) a deconvolution-based method that utilizes transcriptome data to infer the quantities of immune-cell types, and then uses these quantitative traits to uncover the underlying DNA loci.

Version: 1.0.4
Depends: R (≥ 3.1.1)
Imports: glmnet, stats
Published: 2018-05-13
Author: Yael Steuerman [aut, cre], Irit Gat-Viks [aut]
Maintainer: Yael Steuerman <yaelsteu at mail.tau.ac.il>
License: GPL-2
URL: http://dcq.tau.ac.il/ , http://csgi.tau.ac.il/VoCAL/
NeedsCompilation: no
CRAN checks: ComICS results

Documentation:

Reference manual: ComICS.pdf

Downloads:

Package source: ComICS_1.0.4.tar.gz
Windows binaries: r-devel: ComICS_1.0.4.zip, r-release: ComICS_1.0.4.zip, r-oldrel: ComICS_1.0.4.zip
macOS binaries: r-release (arm64): ComICS_1.0.4.tgz, r-oldrel (arm64): ComICS_1.0.4.tgz, r-release (x86_64): ComICS_1.0.4.tgz, r-oldrel (x86_64): ComICS_1.0.4.tgz
Old sources: ComICS archive

Reverse dependencies:

Reverse imports: ADAPTS

Linking:

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