miRcomp
Tools to assess and compare miRNA expression estimatation methods
Bioconductor version: 3.23 · Package version: 1.42.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Based on a large miRNA dilution study, this package provides tools to read in the raw amplification data and use these data to assess the performance of methods that estimate expression from the amplification curves.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("miRcomp")Details
| Maintainer | Matthew N. McCall <mccallm@gmail.com> |
| Author | Matthew N. McCall <mccallm@gmail.com>, Lauren Kemperman <lkemperm@u.rochester.edu> |
| License | GPL-3 | file LICENSE |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Preprocessing, QualityControl, Software, qPCR |
| Package Short Url | https://bioconductor.org/packages/miRcomp/ |
Citation
From within R, enter citation("miRcomp"):
Matthew N. McCall, Lauren Kemperman. miRcomp: Tools to assess and compare miRNA expression estimatation methods. doi:10.18129/B9.bioc.miRcomp, R package version 1.42.0, https://bioconductor.org/packages/miRcomp.
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 | miRcomp_1.42.0.tar.gz |
| Windows binary (x86_64) | miRcomp_1.42.0.zip |
| macOS binary (arm64) | miRcomp_1.42.0.tgz |
| macOS binary (x86_64) | miRcomp_1.42.0.tgz |
Dependencies
Depends: R (>= 3.5.0), Biobase (>= 2.22.0), miRcompData
Imports: utils, methods, graphics, KernSmooth, stats
Suggests: BiocStyle, knitr, rmarkdown, RUnit, BiocGenerics, shiny