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scCATCH  

Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity
View on CRAN: Click here


Download and install scCATCH package within the R console
Install from CRAN:
install.packages("scCATCH")

Install from Github:
library("remotes")
install_github("cran/scCATCH")

Install by package version:
library("remotes")
install_version("scCATCH", "3.2.2")



Attach the package and use:
library("scCATCH")
Maintained by
Xin Shao
[Scholar Profile | Author Map]
First Published: 2022-01-07
Latest Update: 2023-04-23
Description:
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) for more details.
How to cite:
Xin Shao (2022). scCATCH: Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity. R package version 3.2.2, https://cran.r-project.org/web/packages/scCATCH. Accessed 07 Apr. 2025.
Previous versions and publish date:
3.0 (2022-01-07 14:32), 3.1 (2022-05-14 08:30), 3.2.1 (2022-11-07 09:40), 3.2 (2022-09-14 09:20)
Other packages that cited scCATCH R package
View scCATCH citation profile
Other R packages that scCATCH depends, imports, suggests or enhances
Complete documentation for scCATCH
Functions, R codes and Examples using the scCATCH R package
Some associated functions: cellmatch . createscCATCH . demo_data . demo_geneinfo . demo_marker . findcelltype . findmarkergene . geneinfo . rev_gene . scCATCH . 
Some associated R codes: class.R . demo.R . methods.R . rev_gene.R . sysdata.R . utils.R .  Full scCATCH package functions and examples
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