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
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scCATCH.pdf |scCATCH.html
scCATCH/json (API)

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

Peer review:

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

Datasets:

On CRAN:

cell-markerscluster-annotationmarker-genesrna-seqsequencingseuratsingle-celltranscriptometranscriptomics

6.48 score 215 stars 70 scripts 298 downloads 7 exports 19 dependencies

Last updated 2 years agofrom:06c6ffb960. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:createscCATCHdemo_datademo_geneinfodemo_markerfindcelltypefindmarkergenerev_gene

Dependencies:clicrayongluehmslatticelifecyclemagrittrMatrixpkgconfigplyrprettyunitsprogressR6Rcppreshape2rlangstringistringrvctrs