ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells

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
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
CRAN checks:	ADAPTS results

Documentation:

Reference manual:

ADAPTS.pdf

Vignettes:

ADAPTS (Automated Deconvolution Augmentation of Profiles for Tissue Specific cells) Vignette ADAPTS Vignette #2: (DEPRECATED) Single Cell Analysis ADAPTS Vignette #3: Building a Better Signature Matrix From Single Cell Data ADAPTS Vignette #4: Build a Single Cell Based Matrix and Test on Independant Data ADAPTS Vignette #5: Automated Repeated Leave-Half-Out Cross-Validation for Robust Accuracy Estimates

Downloads:

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

Linking:

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