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InteRD Integrated and robust cell-type deconvolution

InteRD has three primary advantages. First, it is able to effectively integrate deconvolution results from multiple scRNA-seq datasets. Second, InteRD calibrates estimates from reference-based deconvolution by taking into account extra biological information as priors. Third, InteRD is equipped with a data-driven mechanism of self-control designed to be robust to the introduction of inaccurate information in the deconvolution system.

Installation

You can install the released version of InteRD with:

#install devtools if necessary
install.packages("devtools")

#install the InteRD package
devtools::install_github("chencxxy28/InteRD")

#load
library(InteRD)

If Biobase package is not available, please install it first before installation of InteRD

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Biobase")

Vignettes

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Version

Install

install.packages('InteRD')

Monthly Downloads

49

Version

0.1.1

License

Artistic-2.0

Issues

Pull Requests

Stars

Forks

Maintainer

Chixiang Chen

Last Published

August 12th, 2022

Functions in InteRD (0.1.1)

InteRD2

The InteRD2 estimate
Ref_free

A reference-free deconvolution estimate
pop.ct.prop.scRNA

Calculate the population-level cell type proportions from a single-cell data.
evaluate

Evaluation for estimated cell type proportions
generateBulk

Pseudo bulk data generation function
InteRD.predict.prop

Extract the estimated proportions from InteRD
InteRD1

The InteRD1 estimate from reference ensemble