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.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("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 | 1.4.0 |
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 |
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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