This is the development version of HIPPO; for the stable release version, see HIPPO.

Heterogeneity-Induced Pre-Processing tOol

Bioconductor version: Development (3.20)

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.

Author: Tae Kim [aut, cre], Mengjie Chen [aut]

Maintainer: Tae Kim <tk382 at uchicago.edu>

Citation (from within R, enter citation("HIPPO")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Example analysis HTML R Script
Reference Manual PDF


biocViews Clustering, DifferentialExpression, GeneExpression, Sequencing, SingleCell, Software
Version 1.17.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL (>=2)
Depends R (>= 3.6.0)
Imports ggplot2, graphics, stats, reshape2, gridExtra, Rtsne, umap, dplyr, rlang, magrittr, irlba, Matrix, SingleCellExperiment, ggrepel
System Requirements
URL https://github.com/tk382/HIPPO
Bug Reports https://github.com/tk382/HIPPO/issues
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Suggests knitr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package HIPPO_1.17.0.tar.gz
Windows Binary HIPPO_1.17.0.zip (64-bit only)
macOS Binary (x86_64) HIPPO_1.17.0.tgz
macOS Binary (arm64) HIPPO_1.17.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/HIPPO
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/HIPPO
Bioc Package Browser https://code.bioconductor.org/browse/HIPPO/
Package Short Url https://bioconductor.org/packages/HIPPO/
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