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

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