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quantiseqr

This is the released version of quantiseqr; for the devel version, see quantiseqr.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Quantification of the Tumor Immune contexture from RNA-seq data


Bioconductor version: Release (3.23)

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, enter citation("quantiseqr")):

Federico Marini, Francesca Finotello. quantiseqr: Quantification of the Tumor Immune contexture from RNA-seq data. doi:10.18129/B9.bioc.quantiseqr, R package version 1.20.0, https://bioconductor.org/packages/quantiseqr.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("quantiseqr")

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("quantiseqr")
Using quantiseqr HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Annotation, Classification, ExperimentHubSoftware, FeatureExtraction, FlowCytometry, GeneExpression, ImmunoOncology, Microarray, Sequencing, Software, StatisticalMethod, Transcription, Transcriptomics, Visualization
Version1.20.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 years)
License GPL-3
Depends R (>= 4.1.0)
Imports Biobase, limSolve, MASS, methods, preprocessCore, stats, SummarizedExperiment, ggplot2, tidyr, rlang, utils
System Requirements
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Suggests AnnotationDbi, BiocStyle, dplyr, ExperimentHub, GEOquery, knitr, macrophage, org.Hs.eg.db, reshape2, rmarkdown, testthat, tibble
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Package Archives

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

Source Package quantiseqr_1.20.0.tar.gz
Windows Binary (x86_64) quantiseqr_1.20.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) quantiseqr_1.20.0.tgz
macOS Binary (sonoma-arm64) quantiseqr_1.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/quantiseqr
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/quantiseqr
Package Short Url https://bioconductor.org/packages/quantiseqr/
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