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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
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Tools to assess and compare miRNA expression estimatation methods
Bioconductor version: Release (3.5)
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) |
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE |
Details
| biocViews | Preprocessing, QualityControl, Software, qPCR |
| Version | 1.6.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (2 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.
| Source Package | miRcomp_1.6.0.tar.gz |
| Windows Binary | miRcomp_1.6.0.zip |
| Mac OS X 10.11 (El Capitan) | miRcomp_1.6.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/miRcomp |
| Package Short Url | http://bioconductor.org/packages/miRcomp/ |
| Package Downloads Report | Download Stats |
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