scTHI

Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data


Bioconductor version: Release (3.20)

scTHI is an R package to identify active pairs of ligand-receptors from single cells in order to study,among others, tumor-host interactions. scTHI contains a set of signatures to classify cells from the tumor microenvironment.

Author: Francesca Pia Caruso [aut], Michele Ceccarelli [aut, cre]

Maintainer: Michele Ceccarelli <m.ceccarelli at gmail.com>

Citation (from within R, enter citation("scTHI")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("scTHI")

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("scTHI")
Using scTHI HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews SingleCell, Software
Version 1.18.0
In Bioconductor since BioC 3.11 (R-4.0) (4.5 years)
License GPL-2
Depends R (>= 4.0)
Imports BiocParallel, Rtsne, grDevices, graphics, stats
System Requirements
URL
Bug Reports https://github.com/miccec/scTHI/issues
See More
Suggests scTHI.data, knitr, rmarkdown, BiocStyle
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 scTHI_1.18.0.tar.gz
Windows Binary (x86_64) scTHI_1.18.0.zip (64-bit only)
macOS Binary (x86_64) scTHI_1.18.0.tgz
macOS Binary (arm64) scTHI_1.18.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scTHI
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scTHI
Bioc Package Browser https://code.bioconductor.org/browse/scTHI/
Package Short Url https://bioconductor.org/packages/scTHI/
Package Downloads Report Download Stats