CRAN/E | scRNAstat

scRNAstat

A Pipeline to Process Single Cell RNAseq Data

Installation

About

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.

Key Metrics

Version 0.1.1
R ≥ 2.10
Published 2021-09-22 947 days ago
Needs compilation? no
License AGPL (≥ 3)
CRAN checks scRNAstat results

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Maintainer

Maintainer

Yonghe Xia

xiayh17@gmail.com

Authors

Jianming Zeng

aut

Yonghe Xia

ctb / cre

Biotrainee group

cph / fnd

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

Seurat
ggplot2
stringr
clustree
magrittr
Matrix
dplyr
patchwork