To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("BioQC")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
BioQC performs quality control of high-throughput expression data based on tissue gene signatures
Author: Jitao David Zhang <jitao_david.zhang at roche.com>, with inputs from Laura Badi
Maintainer: Jitao David Zhang <jitao_david.zhang at roche.com>
Citation (from within R,
enter citation("BioQC")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("BioQC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioQC")
R Script | BioQC: The kidney expression example | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, QualityControl, Software, StatisticalMethod |
Version | 1.4.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (1.5 years) |
License | LGPL (>=2) |
Depends | Rcpp, Biobase |
Imports | |
LinkingTo | |
Suggests | testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | BioQC_1.4.0.tar.gz |
Windows Binary | BioQC_1.4.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | BioQC_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/BioQC |
Package Short Url | http://bioconductor.org/packages/BioQC/ |
Package Downloads Report | Download Stats |
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