scHOT
This is the development version of scHOT; for the stable release version, see scHOT.
single-cell higher order testing
Bioconductor version: Development (3.21)
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("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.
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 |
Details
biocViews | GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
Version | 1.19.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (4.5 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
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_1.19.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/scHOT |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scHOT |
Bioc Package Browser | https://code.bioconductor.org/browse/scHOT/ |
Package Short Url | https://bioconductor.org/packages/scHOT/ |
Package Downloads Report | Download Stats |