DUBStepR: Correlation-Based Feature Selection for Single-Cell RNA Sequencing Data

Determining the optimal set of feature genes to characterise cell types in single-cell RNA sequencing data using stepwise regression on gene-gene correlations. <doi:10.1101/2020.10.07.330563>.

Version: 1.1.1
Depends: R (≥ 3.5.0)
Imports: Matrix, matrixcalc, RANN, qlcMatrix, parallel, stats, Seurat, methods, graphics
Suggests: rmarkdown, knitr, hdf5r, dplyr
Published: 2021-04-22
Author: Bobby Ranjan [aut, cre], Kunal Mishra [ctb], Shyam Lab [cph], Bryan Hanson [ctb], Damian Coventry [ctb], Brandon Crosby [ctb], Gregoire Thomas [ctb]
Maintainer: Bobby Ranjan <ranjan_bobby at gis.a-star.edu.sg>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: DUBStepR results

Downloads:

Reference manual: DUBStepR.pdf
Vignettes: DUBStepR Vignette
Package source: DUBStepR_1.1.1.tar.gz
Windows binaries: r-devel: DUBStepR_1.1.1.zip, r-release: DUBStepR_1.1.1.zip, r-oldrel: not available
macOS binaries: r-release: DUBStepR_1.1.1.tgz, r-oldrel: not available
Old sources: DUBStepR archive

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