scHOT

This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see scHOT.

single-cell higher order testing


Bioconductor version: 3.18

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, enter citation("scHOT")):

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("scHOT")

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("scHOT")
Getting started: scHOT HTML R Script
Reference Manual PDF

Details

biocViews GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version 1.14.0
In Bioconductor since BioC 3.11 (R-4.0) (4 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
Suggests knitr, markdown, rmarkdown, scater, scattermore, scales, matrixStats, deldir
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package scHOT_1.14.0.tar.gz
Windows Binary scHOT_1.14.0.zip
macOS Binary (x86_64) scHOT_1.14.0.tgz
macOS Binary (arm64) scHOT_1.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scHOT
Source Repository (Developer Access) git clone [email protected]:packages/scHOT
Bioc Package Browser https://code.bioconductor.org/browse/scHOT/
Package Short Url https://bioconductor.org/packages/scHOT/
Package Downloads Report Download Stats