run_umap: Run UMAP

In NWhitener/benchmarking: Benchmarking Tools For Single Cell RNA Sequencing Datasets

Run UMAP

Description

This functions runs the Seurat RunUMAP function on a list of data sets. This functions assumes that genes are in rows and cells are in columns. The default reduction is set to "pca" with the first 10 dimensions being accepted

Usage

run_umap(dataList, reductionType = "pca", numDimensions = 10)

Arguments

dataList	A list of data sets to be reduced by UMAP
reductionType	The type of reduction that the UMAP calculation should be based on, defaulted to PCA
numDimensions	The number of dimensions to be used in the UMAP calculation, default is 10

Value

A data list with UMAP completed on the features

NWhitener/benchmarking documentation built on Oct. 23, 2023, 12:20 a.m.