This is the development version of HIPPO; for the stable release version, see HIPPO.
Heterogeneity-Induced Pre-Processing tOolBioconductor version: Development (3.22)
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, entercitation("HIPPO")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("HIPPO")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HIPPO")Follow Installation instructions to use this package in your R session.
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