quantiseqr
Quantification of the Tumor Immune contexture from RNA-seq data
Bioconductor version: 3.23 · Package version: 1.20.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("quantiseqr") Details
| Maintainer | Federico Marini <marinif@uni-mainz.de> |
| Author | Federico Marini [aut, cre] (ORCID: <https://orcid.org/0000-0003-3252-7758>), Francesca Finotello [aut] (ORCID: <https://orcid.org/0000-0003-0712-4658>) |
| License | GPL-3 |
| Downloads rank | 1183 |
| Source branch | RELEASE_3_23 |
| biocViews | Annotation, Classification, ExperimentHubSoftware, FeatureExtraction, FlowCytometry, GeneExpression, ImmunoOncology, Microarray, Sequencing, Software, StatisticalMethod, Transcription, Transcriptomics, Visualization |
Documentation
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Dependencies
Depends: R (>= 4.1.0)
Imports: Biobase, limSolve, MASS, methods, preprocessCore, stats, SummarizedExperiment, ggplot2, tidyr, rlang, utils
Suggests: AnnotationDbi, BiocStyle, dplyr, ExperimentHub, GEOquery, knitr, macrophage, org.Hs.eg.db, reshape2, rmarkdown, testthat, tibble
Reverse dependencies
Imports Me (1): easier