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Heterogeneity-Induced Pre-Processing tOol

Bioconductor version: Release (3.19)

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>

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


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Reference Manual PDF


biocViews Clustering, DifferentialExpression, GeneExpression, Sequencing, SingleCell, Software
Version 1.16.0
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
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Source Package HIPPO_1.16.0.tar.gz
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macOS Binary (x86_64) HIPPO_1.16.0.tgz
macOS Binary (arm64) HIPPO_1.16.0.tgz
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