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HIPPO

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

Heterogeneity-Induced Pre-Processing tOol

DOI: 10.18129/B9.bioc.HIPPO

Bioconductor version: Development (3.24)

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")):

Tae Kim, Mengjie Chen. HIPPO: Heterogeneity-Induced Pre-Processing tOol. doi:10.18129/B9.bioc.HIPPO, R package version 1.25.0, https://bioconductor.org/packages/HIPPO.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("HIPPO")

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

Documentation

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

browseVignettes("HIPPO")

Details

Package Archives

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