rstatistics/SCKIT: Yet Another Single-Cell Analysis Toolkit (Yeskit)

This is a single-cell analysis tookit. It can be used for single-cell gene expression matrices importation, data integration, differential analysis, functional analysis, and visualization. It obeys the default data structure of Seurat, and stores pathogen expression data and pathway enrichment scores in the obj@metadata slot and stores differential gene analysis results and GO enrichment results in the obj@misc slot. Besides, Yeskit has the option to rasterize the geom_point layer of ggplot2, while keep all axes, labels, and text in vector format.

Getting started

Package details

Bioconductor views Annotation Clustering DifferentialExpression GO GeneExpression SingleCell Visualization
LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
rstatistics/SCKIT documentation built on Dec. 22, 2021, 7:18 p.m.