The goal of scUtils is to collect utility functions that make single-cell RNAseq data analysis simple and understandable for anyone. At the same time, I will use it when writing my PhD thesis.
InstallationYou can install the released version of scUtils from CRAN with:
install.packages("scUtils")And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("FelixTheStudent/scUtils")Feature Plots highlight gene expression in a 2-dimensional embedding (computed e.g. with UMAP or tSNE).
library(scUtils)
# simulate some data
set.seed(100)
my_umap <- matrix(rnorm(2000, c(.1, 3)), ncol=2, dimnames = list(NULL, c("umap_1", "umap_2")))
my_expr <- rpois(1000, c(.1, 11))
feat(my_umap, my_expr)RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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