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decemedip

hierarchical Bayesian modeling for cell type deconvolution of immunoprecipitation-based DNA methylome

Bioconductor version: 3.24 · Package version: 1.1.3

The R package decemedip is a novel computational paradigm developed for inferring the relative abundances of cell types and tissues measure by methylated DNA immunoprecipitation sequencing (MeDIP-Seq). This paradigm allows using reference data from other technologies such as microarray or WGBS.

Installation

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

BiocManager::install("decemedip")

Details

MaintainerKeegan Korthauer <kkorthauer@cmmt.ubc.ca>
AuthorKeegan Korthauer [aut, cre] (ORCID: <https://orcid.org/0000-0002-4565-1654>), Ning Shen [aut] (ORCID: <https://orcid.org/0000-0002-2974-1086>)
LicenseMIT + file LICENSE
URLhttps://github.com/nshen7/decemedip
Bug Reportshttps://github.com/nshen7/decemedip/issues
System RequirementsGNU make
Downloads rank229
Source branchdevel
biocViewsDNAMethylation, Epigenetics, ImmunoOncology, Sequencing, Software, WholeGenome

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagedecemedip_1.1.3.tar.gz
Windows binary (x86_64)decemedip_1.1.3.zip
macOS binary (arm64)decemedip_1.1.3.tgz
macOS binary (x86_64)decemedip_1.1.3.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: bayesplot, cowplot, dplyr, GenomicRanges, ggplot2, IRanges, magrittr, Matrix, matrixStats, MEDIPS, methods, purrr, R.utils, Rcpp, RcppParallel, rlang, rstan, rstantools, S4Vectors, SummarizedExperiment

LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)

Suggests: knitr, rmarkdown, BiocStyle, devtools, testthat (>= 3.0.0)