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scRNAstat  

A Pipeline to Process Single Cell RNAseq Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("scRNAstat", "0.1.1")



Attach the package and use:
library("scRNAstat")
Maintained by
Yonghe Xia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-22
Latest Update: 2021-09-22
Description:
A pipeline that can process single or multiple Single Cell RNAseq samples primarily specializes in Clustering and Dimensionality Reduction. Meanwhile we use common cell type marker genes for T cells, B cells, Myeloid cells, Epithelial cells, and stromal cells (Fiboblast, Endothelial cells, Pericyte, Smooth muscle cells) to visualize the Seurat clusters, to facilitate labeling them by biological names. Once users named each cluster, they can evaluate the quality of them again and find the de novo marker genes also.
How to cite:
Yonghe Xia (2021). scRNAstat: A Pipeline to Process Single Cell RNAseq Data. R package version 0.1.1, https://cran.r-project.org/web/packages/scRNAstat. Accessed 30 Jan. 2025.
Previous versions and publish date:
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