Package: scCATCH 3.2.2

Xin Shao

scCATCH: Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity

An automatic cluster-based annotation pipeline based on evidence-based score by matching the marker genes with known cell markers in tissue-specific cell taxonomy reference database for single-cell RNA-seq data. See Shao X, et al (2020) <doi:10.1016/j.isci.2020.100882> for more details.

Authors:Xin Shao

scCATCH_3.2.2.tar.gz
scCATCH_3.2.2.zip(r-4.7)scCATCH_3.2.2.zip(r-4.6)scCATCH_3.2.2.zip(r-4.5)
scCATCH_3.2.2.tgz(r-4.6-any)scCATCH_3.2.2.tgz(r-4.5-any)
scCATCH_3.2.2.tar.gz(r-4.7-any)scCATCH_3.2.2.tar.gz(r-4.6-any)
scCATCH_3.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
scCATCH/json (API)

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

Bug tracker:https://github.com/zjufanlab/sccatch/issues

Datasets:

On CRAN:

Conda:

cell-markerscluster-annotationmarker-genesrna-seqsequencingseuratsingle-celltranscriptometranscriptomics

7.39 score 241 stars 126 scripts 390 downloads 4 mentions 7 exports 19 dependencies

Last updated from:06c6ffb960. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK141
source / vignettesOK173
linux-release-x86_64OK139
macos-release-arm64OK174
macos-oldrel-arm64OK236
windows-develOK95
windows-releaseOK88
windows-oldrelOK105
wasm-releaseOK111

Exports:createscCATCHdemo_datademo_geneinfodemo_markerfindcelltypefindmarkergenerev_gene

Dependencies:clicrayongluehmslatticelifecyclemagrittrMatrixpkgconfigplyrprettyunitsprogressR6Rcppreshape2rlangstringistringrvctrs