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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 |
| Reference manual: | ComICS.pdf |
| 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 imports: | ADAPTS |
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