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-any)scCATCH_3.2.2.zip(r-4.6-any)scCATCH_3.2.2.zip(r-4.5-any)
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

7.36 score 247 stars 117 scripts 553 downloads 4 mentions 7 exports 19 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK118
source / vignettesOK352
linux-releaseOK136
macos-releaseOK195
macos-oldrelOK132
windows-develOK91
windows-releaseOK85
windows-oldrelOK85
wasm-releaseOK92

Exports:createscCATCHdemo_datademo_geneinfodemo_markerfindcelltypefindmarkergenerev_gene

Dependencies:clicrayongluehmslatticelifecyclemagrittrMatrixpkgconfigplyrprettyunitsprogressR6Rcppreshape2rlangstringistringrvctrs