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_3.2.2.tgz(r-4.4-any)scCATCH_3.2.2.tgz(r-4.3-any)
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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

7 exports 210 stars 5.60 score 19 dependencies 4 mentions 69 scripts 400 downloads

Last updated 1 years agofrom:06c6ffb960. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winNOTEAug 30 2024
R-4.5-linuxNOTEAug 30 2024
R-4.4-winNOTEAug 30 2024
R-4.4-macNOTEAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:createscCATCHdemo_datademo_geneinfodemo_markerfindcelltypefindmarkergenerev_gene

Dependencies:clicrayongluehmslatticelifecyclemagrittrMatrixpkgconfigplyrprettyunitsprogressR6Rcppreshape2rlangstringistringrvctrs