deconvR

Simulation and Deconvolution of Omic Profiles

Bioconductor version: Release (3.17)

This package provides a collection of functions designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model. Users are given the option to create or extend a reference atlas and,also simulate the desired size of the bulk signature profile of the reference cell types.The package includes the cell-type-specific methylation atlas and, Illumina Epic B5 probe ids that can be used in deconvolution. Additionally,we included BSmeth2Probe, to make mapping WGBS data to their probe IDs easier.

Author: Irem B. Gündüz [aut, cre] , Veronika Ebenal [aut] , Altuna Akalin [aut]

Maintainer: Irem B. Gündüz <irembgunduz at gmail.com>

Citation (from within R, enter citation("deconvR")):

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("deconvR")

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("deconvR")

deconvRVignette	HTML	R Script
Reference Manual	PDF
NEWS	Text

Details

biocViews	DNAMethylation, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics
Version	1.6.0
In Bioconductor since	BioC 3.14 (R-4.1) (2 years)
License	Artistic-2.0
Depends	R (>= 4.1), data.table (>= 1.14.0)
Imports	S4Vectors(>= 0.30.0), methylKit(>= 1.18.0), IRanges(>= 2.26.0), GenomicRanges(>= 1.44.0), BiocGenerics(>= 0.38.0), stats, methods, foreach (>= 1.5.1), magrittr (>= 2.0.1), matrixStats (>= 0.61.0), e1071 (>= 1.7.9), quadprog (>= 1.5.8), nnls (>= 1.4), rsq (>= 2.2), MASS, utils, dplyr (>= 1.0.7), tidyr (>= 1.1.3), assertthat, minfi
Linking To
Suggests	testthat (>= 3.0.0), roxygen2 (>= 7.1.2), doParallel (>= 1.0.16), parallel, knitr (>= 1.34), BiocStyle(>= 2.20.2), reshape2 (>= 1.4.4), ggplot2 (>= 3.3.5), rmarkdown, devtools (>= 2.4.2), sessioninfo (>= 1.1.1), covr, granulator, RefManageR
System Requirements
Enhances
URL	https://github.com/BIMSBbioinfo/deconvR
Bug Reports	https://support.bioconductor.org/t/deconvR

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Build Report

Package Archives

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

Source Package	deconvR_1.6.0.tar.gz
Windows Binary	deconvR_1.6.0.zip
macOS Binary (x86_64)	deconvR_1.6.0.tgz
macOS Binary (arm64)	deconvR_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/deconvR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/deconvR
Bioc Package Browser	https://code.bioconductor.org/browse/deconvR/
Package Short Url	https://bioconductor.org/packages/deconvR/
Package Downloads Report	Download Stats