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Bioconductor 3.22 Released

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quantiseqr

This is thereleased version of quantiseqr; for the devel version, seequantiseqr.

Quantification of the Tumor Immune contexture from RNA-seq data

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DOI: 10.18129/B9.bioc.quantiseqr


Bioconductor version: Release (3.22)

This package provides a streamlined workflow for the quanTIseq method, developed to perform the quantification of the Tumor Immune contexture from RNA-seq data. The quantification is performed against the TIL10 signature (dissecting the contributions of ten immune cell types), carefully crafted from a collection of human RNA-seq samples. The TIL10 signature has been extensively validated using simulated, flow cytometry, and immunohistochemistry data.

Author: Federico Marini [aut, cre]ORCID iD ORCID: 0000-0003-3252-7758, Francesca Finotello [aut]ORCID iD ORCID: 0000-0003-0712-4658

Maintainer: Federico Marini <marinif at uni-mainz.de>

Citation (from within R, entercitation("quantiseqr")):

Installation

To install this package, start R (version "4.5") and enter:

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

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("quantiseqr")
Using quantiseqrHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAnnotation,Classification,ExperimentHubSoftware,FeatureExtraction,FlowCytometry,GeneExpression,ImmunoOncology,Microarray,Sequencing,Software,StatisticalMethod,Transcription,Transcriptomics,Visualization
Version1.18.0
In Bioconductor sinceBioC 3.13 (R-4.1) (4.5 years)
LicenseGPL-3
DependsR (>= 4.1.0)
ImportsBiobase,limSolve,MASS, methods,preprocessCore, stats,SummarizedExperiment,ggplot2,tidyr,rlang, utils
System Requirements
URL
See More
SuggestsAnnotationDbi,BiocStyle,dplyr,ExperimentHub,GEOquery,knitr,macrophage,org.Hs.eg.db,reshape2,rmarkdown,testthat,tibble
Linking To
Enhances
Depends On Me
Imports Meeasier
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagequantiseqr_1.18.0.tar.gz
Windows Binary (x86_64) quantiseqr_1.18.0.zip
macOS Binary (x86_64)quantiseqr_1.18.0.tgz
macOS Binary (arm64)quantiseqr_1.18.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/quantiseqr
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/quantiseqr
Bioc Package Browserhttps://code.bioconductor.org/browse/quantiseqr/
Package Short Urlhttps://bioconductor.org/packages/quantiseqr/
Package Downloads ReportDownload Stats

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