Bioconductor version: Release (3.15)
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.
Author: Matthew N. McCall <mccallm at gmail.com>, Lauren Kemperman <lkemperm at u.rochester.edu>
Maintainer: Matthew N. McCall <mccallm at gmail.com>
Citation (from within R,
enter citation("miRcomp")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("miRcomp")
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("miRcomp")
HTML | R Script | Assessment and comparison of miRNA expression estimation methods (miRcomp) |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Preprocessing, QualityControl, Software, qPCR |
Version | 1.26.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (7 years) |
License | GPL-3 | file LICENSE |
Depends | R (>= 3.2), Biobase(>= 2.22.0), miRcompData |
Imports | utils, methods, graphics, KernSmooth, stats |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown, RUnit, BiocGenerics, shiny |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | miRcomp_1.26.0.tar.gz |
Windows Binary | miRcomp_1.26.0.zip |
macOS Binary (x86_64) | miRcomp_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/miRcomp |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/miRcomp |
Package Short Url | https://bioconductor.org/packages/miRcomp/ |
Package Downloads Report | Download Stats |
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