 
  
 
   
   This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see deconvR.
Bioconductor version: 3.15
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: İrem B. Gündüz [aut, cre]  , Veronika Ebenal [aut]
, Veronika Ebenal [aut]  , Altuna Akalin [aut]
, Altuna Akalin [aut]  
 
Maintainer: İrem B. Gündüz <irembgunduz at gmail.com>
Citation (from within R,
      enter citation("deconvR")):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("deconvR")
    
| HTML | R Script | deconvRVignette | 
| Reference Manual | ||
| Text | NEWS | 
| biocViews | DNAMethylation, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics | 
| Version | 1.2.0 | 
| In Bioconductor since | BioC 3.14 (R-4.1) (1 year) | 
| 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 | 
| LinkingTo | |
| 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 | 
| SystemRequirements | |
| Enhances | |
| URL | https://github.com/BIMSBbioinfo/deconvR | 
| BugReports | https://support.bioconductor.org/t/deconvR | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | deconvR_1.2.0.tar.gz | 
| Windows Binary | deconvR_1.2.0.zip | 
| macOS Binary (x86_64) | deconvR_1.2.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/deconvR | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/deconvR | 
| Package Short Url | https://bioconductor.org/packages/deconvR/ | 
| Package Downloads Report | Download Stats | 
 
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