SPECK: Receptor Abundance Estimation using Reduced Rank Reconstruction and Clustered Thresholding

Surface Protein abundance Estimation using CKmeans-based clustered thresholding ('SPECK') is an unsupervised learning-based method that performs receptor abundance estimation for single cell RNA-sequencing data based on reduced rank reconstruction (RRR) and a clustered thresholding mechanism. Seurat's normalization method is described in: Hao et al., (2021) <doi:10.1016/j.cell.2021.04.048>, Stuart et al., (2019) <doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018) <doi:10.1038/nbt.4096> and Satija et al., (2015) <doi:10.1038/nbt.3192>. Method for the RRR is further detailed in: Erichson et al., (2019) <doi:10.18637/jss.v089.i11> and Halko et al., (2009) <doi:10.48550/arXiv.0909.4061>. Clustering method is outlined in: Song et al., (2020) <doi:10.1093/bioinformatics/btaa613> and Wang et al., (2011) <doi:10.32614/RJ-2011-015>.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	Ckmeans.1d.dp, magrittr, Matrix (≥ 1.6.1.1), rsvd, Seurat
Suggests:	ggplot2, gridExtra, knitr, rmarkdown, SeuratObject, usethis
Published:	2023-11-17
DOI:	10.32614/CRAN.package.SPECK
Author:	H. Robert Frost [aut], Azka Javaid [aut, cre]
Maintainer:	Azka Javaid <azka.javaid.gr at dartmouth.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	SPECK results

Documentation:

Reference manual:	SPECK.pdf
Vignettes:	SPECKVignette

Downloads:

Package source:	SPECK_1.0.0.tar.gz
Windows binaries:	r-devel: SPECK_1.0.0.zip, r-release: SPECK_1.0.0.zip, r-oldrel: SPECK_1.0.0.zip
macOS binaries:	r-release (arm64): SPECK_1.0.0.tgz, r-oldrel (arm64): SPECK_1.0.0.tgz, r-release (x86_64): SPECK_1.0.0.tgz, r-oldrel (x86_64): SPECK_1.0.0.tgz
Old sources:	SPECK archive

Reverse dependencies:

Reverse imports:

STREAK

Linking:

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