HIPPO
Heterogeneity-Induced Pre-Processing tOol
Bioconductor version: 3.24 · Package version: 1.25.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HIPPO") Details
| Maintainer | Tae Kim <tk382@uchicago.edu> |
| Author | Tae Kim [aut, cre], Mengjie Chen [aut] |
| License | GPL (>=2) |
| URL | https://github.com/tk382/HIPPO |
| Bug Reports | https://github.com/tk382/HIPPO/issues |
| Downloads rank | 352 |
| Source branch | devel |
| biocViews | Clustering, DifferentialExpression, GeneExpression, Sequencing, SingleCell, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | HIPPO_1.25.0.tar.gz |
| Windows binary (x86_64) | HIPPO_1.25.0.zip |
| macOS binary (arm64) | HIPPO_1.25.0.tgz |
| macOS binary (x86_64) | HIPPO_1.25.0.tgz |