easier
This is the released version of easier; for the devel version, see easier.
Estimate Systems Immune Response from RNA-seq data
Bioconductor version: Release (3.23)
This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input. We integrate RNA-seq data with different types of prior knowledge to extract quantitative descriptors of the tumor microenvironment from several points of view, including composition of the immune repertoire, and activity of intra- and extra-cellular communications. Then, we use multi-task machine learning trained in TCGA data to identify how these descriptors can simultaneously predict several state-of-the-art hallmarks of anti-cancer immune response. In this way we derive cancer-specific models and identify cancer-specific systems biomarkers of immune response. These biomarkers have been experimentally validated in the literature and the performance of EaSIeR predictions has been validated using independent datasets form four different cancer types with patients treated with anti-PD1 or anti-PDL1 therapy.
Author: Oscar Lapuente-Santana [aut, cre] 
, Federico Marini [aut] , Arsenij Ustjanzew [aut] , Francesca Finotello [aut] , Federica Eduati [aut]
Maintainer: Oscar Lapuente-Santana <o.lapuente.santana at tue.nl>
citation("easier")):Oscar Lapuente-Santana, Federico Marini, Arsenij Ustjanzew, Francesca Finotello, Federica Eduati. easier: Estimate Systems Immune Response from RNA-seq data. doi:10.18129/B9.bioc.easier, R package version 1.18.0, https://bioconductor.org/packages/easier.
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("easier")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("easier")| easier User Manual | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | BiomedicalInformatics, Classification, Epigenetics, ExperimentHubSoftware, GeneExpression, GeneSetEnrichment, ImmunoOncology, Pathways, Regression, Software, SystemsBiology, Transcription |
| Version | 1.18.0 |
| In Bioconductor since | BioC 3.14 (R-4.1) (5 years) |
| License | MIT + file LICENSE |
| Depends | R (>= 4.2.0) |
| Imports | progeny, easierData, dorothea (>= 1.6.0), decoupleR, quantiseqr, ROCR, grDevices, stats, graphics, ggplot2, ggpubr, DESeq2, utils, dplyr, tidyr, tibble, matrixStats, rlang, BiocParallel, reshape2, rstatix, ggrepel, magrittr, coin |
| System Requirements | |
| URL |
See More
| Suggests | knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment, viper |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | IOBR |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | easier_1.18.0.tar.gz |
| Windows Binary (x86_64) | easier_1.18.0.zip |
| macOS Binary (big-sur-x86_64) | easier_1.18.0.tgz |
| macOS Binary (sonoma-arm64) | easier_1.18.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/easier |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/easier |
| Package Short Url | https://bioconductor.org/packages/easier/ |
| Package Downloads Report | Download Stats |