tk382/HIPPO: Heterogeneity-Induced Pre-Processing tOol

For scRNA-seq data, it selects features and clusters the cells simultaneously for single-cell UMI data. It has a novel feature selection method using the zero inflation instead of gene variance, and computationally faster than other existing methods since it only relies on PCA+Kmeans rather than graph-clustering or consensus clustering.

Getting started

Package details

Bioconductor views Clustering DifferentialExpression GeneExpression Sequencing SingleCell
Maintainer
LicenseGPL (>=2)
Version1.0.0
URL https://github.com/tk382/HIPPO
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tk382/HIPPO")
tk382/HIPPO documentation built on June 15, 2021, 5:16 p.m.