This is the development version of scHOT; for the stable release version, see scHOT.
single-cell higher order testingBioconductor version: Development (3.22)
Single cell Higher Order Testing (scHOT) is an R package that facilitates testing changes in higher order structure of gene expression along either a developmental trajectory or across space. scHOT is general and modular in nature, can be run in multiple data contexts such as along a continuous trajectory, between discrete groups, and over spatial orientations; as well as accommodate any higher order measurement such as variability or correlation. scHOT meaningfully adds to first order effect testing, such as differential expression, and provides a framework for interrogating higher order interactions from single cell data.
Author: Shila Ghazanfar [aut, cre], Yingxin Lin [aut]
Maintainer: Shila Ghazanfar <shazanfar at gmail.com>
Citation (from within R, entercitation("scHOT")
): 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("scHOT")
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("scHOT")
Details biocViews GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics Version 1.21.0 In Bioconductor since BioC 3.11 (R-4.0) (5 years) License GPL-3 Depends R (>= 4.0) Imports S4Vectors(>= 0.24.3), SingleCellExperiment, Matrix, SummarizedExperiment, IRanges, methods, stats, BiocParallel, reshape, ggplot2, igraph, grDevices, ggforce, graphics System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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