cindyfang70/clustREval: Evaluates Clustering

clustREval is a package that evaluates the performance of clustering workflows for single cell RNA sequencing data. Users can specify parameters for workflow steps (doublet detection, filtering, normalization, dimensionality reduction, feature selection, and clustering), and can then compute clusteirng outputs from pipelines with all possible combinations of these parameters. Then, users can evaluate the output of each pipeline using unsupervised clustering metrics (Dunn index, mean silhouette width) and gene set enrichment analysis metrics.

Getting started

Package details

MaintainerXin Zhi Fang <xinzhi.fang@mail.utoronto.ca>
LicenseMIT + file LICENSE
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("cindyfang70/clustREval")
cindyfang70/clustREval documentation built on Dec. 19, 2021, 4:59 p.m.