methylCC
Estimate the cell composition of whole blood in DNA methylation samples
Bioconductor version: 3.23 · Package version: 1.26.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
A tool to estimate the cell composition of DNA methylation whole blood sample measured on any platform technology (microarray and sequencing).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("methylCC")Details
| Maintainer | Stephanie C. Hicks <shicks19@jhu.edu> |
| Author | Stephanie C. Hicks [aut, cre] (ORCID: <https://orcid.org/0000-0002-7858-0231>), Rafael Irizarry [aut] (ORCID: <https://orcid.org/0000-0002-3944-4309>) |
| License | GPL-3 |
| URL | https://github.com/stephaniehicks/methylCC/ |
| Bug Reports | https://github.com/stephaniehicks/methylCC/ |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DNAMethylation, MethylSeq, MethylationArray, Microarray, Sequencing, Software, WholeGenome |
| Package Short Url | https://bioconductor.org/packages/methylCC/ |
Citation
From within R, enter citation("methylCC"):
Stephanie C. Hicks, Rafael Irizarry. methylCC: Estimate the cell composition of whole blood in DNA methylation samples. doi:10.18129/B9.bioc.methylCC, R package version 1.26.0, https://bioconductor.org/packages/methylCC.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | methylCC_1.26.0.tar.gz |
| Windows binary (x86_64) | methylCC_1.26.0.zip |
| macOS binary (arm64) | methylCC_1.26.0.tgz |
| macOS binary (x86_64) | methylCC_1.26.0.tgz |
Dependencies
Depends: R (>= 3.6), FlowSorted.Blood.450k
Imports: Biobase, GenomicRanges, IRanges, S4Vectors, dplyr, magrittr, minfi, bsseq, quadprog, stats, utils, bumphunter, genefilter, methods, IlluminaHumanMethylation450kmanifest, IlluminaHumanMethylation450kanno.ilmn12.hg19
Suggests: rmarkdown, knitr, testthat (>= 2.1.0), BiocGenerics, BiocStyle, tidyr, ggplot2