Package: COSG 1.0.0

COSG: Marker Gene Identification for Single Cell Sequencing Data

COSG is designed for accurate and ultra-fast marker gene identification in single-cell sequencing data. COSG can not only be applied to single-cell RNA-seq data, but also single-cell ATAC-seq data and spatial transcriptomics.

Authors:Min Dai [aut, cre]

COSG_1.0.0.tar.gz
COSG_1.0.0.zip(r-4.7-any)COSG_1.0.0.zip(r-4.6-any)COSG_1.0.0.zip(r-4.5-any)
COSG_1.0.0.tgz(r-4.6-any)COSG_1.0.0.tgz(r-4.5-any)
COSG_1.0.0.tar.gz(r-4.7-any)COSG_1.0.0.tar.gz(r-4.6-any)
COSG_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
COSG/json (API)

# Install 'COSG' in R:
install.packages('COSG', repos = c('https://genecell.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/genecell/cosgr/issues

Datasets:
  • pbmc_small - A small example Seurat object for testing

On CRAN:

Conda:

marker-genespiasoscatac-seqscrna-seqspatial-transcriptomics

5.16 score 67 stars 144 scripts 1 exports 23 dependencies

Last updated from:a1d58ca262. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING180
source / vignettesOK245
linux-releaseWARNING217
macos-releaseWARNING179
macos-oldrelWARNING217
windows-develWARNING132
windows-releaseWARNING122
windows-oldrelWARNING111
wasm-releaseOK150

Exports:cosg

Dependencies:clicodetoolsdata.tabledigestdotCall64futurefuture.applygenericsglobalslatticelifecyclelistenvMatrixparallellyprogressrproxyCRcppRcppArmadilloRcppEigenrlangSeuratObjectspspam