IOBR/IOBR: Immune Oncology Biological Research

This package offers six modules for TME analysis based on multi-omics data. These modules cover data preprocessing, TME estimation, TME infiltrating patterns, cellular interactions, genome and TME interaction, and visualization for TME relevant features, as well as modelling based on key features. It integrates multiple vital microenvironmental analysis algorithms and signature estimation methods, simplifying the analysis and downstream visualization of the TME. In addition to providing a quick and easy way to construct gene signatures from scRNA-seq data, It also provides a way to construct a reference matrix for TME deconvolution from scRNA-seq data. The analysis pipeline and feature visualization are user-friendly and provide a comprehensive description of the complex TME, offering insights into tumour-immune interactions.

Getting started

Package details

MaintainerYiran Fang <fyr_nate@163.com>
LicenseGPL-3
Version0.99.0
URL https://doi.org/10.3389/fimmu.2021.687975 (paper) https://iobr.github.io/book/ (docs)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("IOBR/IOBR")
IOBR/IOBR documentation built on April 3, 2025, 2:19 p.m.