To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("miRcomp")

In most cases, you don't need to download the package archive at all.

miRcomp

 

   

Tools to assess and compare miRNA expression estimatation methods

Bioconductor version: Release (3.4)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("miRcomp")

Documentation

HTML R Script Assessment and comparison of miRNA expression estimation methods (miRcomp)
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Preprocessing, QualityControl, Software, qPCR
Version 1.4.0
In Bioconductor since BioC 3.2 (R-3.2) (1.5 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
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source miRcomp_1.4.0.tar.gz
Windows Binary miRcomp_1.4.0.zip
Mac OS X 10.9 (Mavericks) miRcomp_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/miRcomp/tree/release-3.4
Package Short Url http://bioconductor.org/packages/miRcomp/
Package Downloads Report Download Stats

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