High-Performance Open-Source Archive
Tools to construct (or add to) cell-type signature matrices using flow sorted or single cell samples and deconvolve bulk gene expression data. Useful for assessing the quality of single cell RNAseq experiments, estimating the accuracy of signature matrices, and determining cell-type spillover. Please cite: Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells <doi:10.1371/journal.pone.0224693>.
| Version: | 1.0.22 |
| Depends: | R (≥ 3.3.0) |
| Imports: | missForest, e1071, ComICS, pheatmap, doParallel, utils, quantmod, preprocessCore, pcaMethods, foreach, nnls, ranger |
| Suggests: | R.rsp, DeconRNASeq, WGCNA |
| Published: | 2022-09-14 |
| DOI: | 10.32614/CRAN.package.ADAPTS |
| Author: | Samuel A Danziger |
| Maintainer: | Samuel A Danziger <sam.danziger at gmail.com> |
| License: | MIT + file LICENSE |
| Copyright: | Bristol-Myers Squibb |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | Omics |
| CRAN checks: | ADAPTS results |
| Package source: | ADAPTS_1.0.22.tar.gz |
| Windows binaries: | r-devel: ADAPTS_1.0.22.zip, r-release: ADAPTS_1.0.22.zip, r-oldrel: ADAPTS_1.0.22.zip |
| macOS binaries: | r-release (arm64): ADAPTS_1.0.22.tgz, r-oldrel (arm64): ADAPTS_1.0.22.tgz, r-release (x86_64): ADAPTS_1.0.22.tgz, r-oldrel (x86_64): ADAPTS_1.0.22.tgz |
| Old sources: | ADAPTS archive |
| Reverse imports: | scMappR |
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