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Bioconductor 3.22 Released

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scHOT

This is thereleased version of scHOT; for the devel version, seescHOT.

single-cell higher order testing

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DOI: 10.18129/B9.bioc.scHOT


Bioconductor version: Release (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")BiocManager::install("scHOT")

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

Documentation

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

browseVignettes("scHOT")
Getting started: scHOTHTMLR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,RNASeq,Sequencing,SingleCell,Software,Transcriptomics
Version1.22.0
In Bioconductor sinceBioC 3.11 (R-4.0) (5.5 years)
LicenseGPL-3
DependsR (>= 4.0)
ImportsS4Vectors(>= 0.24.3),SingleCellExperiment,Matrix,SummarizedExperiment,IRanges, methods, stats,BiocParallel,reshape,ggplot2,igraph, grDevices,ggforce, graphics
System Requirements
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Suggestsknitr,markdown,rmarkdown,scater,scattermore,scales,matrixStats,deldir
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescHOT_1.22.0.tar.gz
Windows Binary (x86_64) scHOT_1.22.0.zip
macOS Binary (x86_64)scHOT_1.22.0.tgz
macOS Binary (arm64)scHOT_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scHOT
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scHOT
Bioc Package Browserhttps://code.bioconductor.org/browse/scHOT/
Package Short Urlhttps://bioconductor.org/packages/scHOT/
Package Downloads ReportDownload Stats

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