To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("bioassayR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
bioassayR provides tools for statistical analysis of small molecule bioactivity data
Author: Tyler Backman, Ronly Schlenk, Thomas Girke
Maintainer: Tyler Backman <tyler.backman at ucr.edu>
Citation (from within R,
enter citation("bioassayR")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("bioassayR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("bioassayR")
| R Script | bioassayR Tutorial | |
| Reference Manual | ||
| Text | NEWS |
| biocViews | CellBasedAssays, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization |
| Version | 1.2.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) |
| License | Artistic-2.0 |
| Depends | R (>= 3.0.1), DBI, RSQLite, methods |
| Imports | XML |
| Suggests | BiocStyle, RCurl, ape, ChemmineR |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Follow Installation instructions to use this package in your R session.
| Package Source | bioassayR_1.2.0.tar.gz |
| Windows Binary | bioassayR_1.2.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | bioassayR_1.2.0.tgz |
| Mac OS X 10.9 (Mavericks) | bioassayR_1.2.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
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