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scRNAstat (version 0.1.1)

A Pipeline to Process Single Cell RNAseq Data

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.

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Version

Install

install.packages('scRNAstat')

Monthly Downloads

769

Version

0.1.1

License

AGPL (>= 3)

Maintainer

Yonghe Xia

Last Published

September 22nd, 2021

Functions in scRNAstat (0.1.1)

basic_qc

Basic Quality Control
%>%

Pipe operator
basic_filter

basic_filter
basic_workflow

Basic Workflow
basic_markers

Basic Markers
basic_find_markers

Basic Find Markers
AJ064_small_last_sce

Small `AJ064` Seurat Data After Processed
AJ064_small_sce

Small `AJ064` Seurat Data Set