To install this package, start R and enter:

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

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

bioassayR

 

Cross-target analysis of small molecule bioactivity

Bioconductor version: Release (3.2)

Despite a large and rapidly growing body of small molecule bioactivity data, systematic leverage of these data as a reference for identifying compounds with a desired bioactivity, and assessing the drugability of protein targets are limited by informatics challenges stemming from the large data volume, heterogenous experimental designs, sparseness, and noise. This tool addresses these issues to enable simultaneous analysis of thousands of bioassay experiments performed over a diverse and sparse set of compounds and biological targets.

Author: Tyler Backman, Ronly Schlenk, Thomas Girke

Maintainer: Tyler Backman <tyler.backman at email.ucr.edu>

Citation (from within R, enter citation("bioassayR")):

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("bioassayR")

 

HTML Introduction and Examples
PDF   Reference Manual
Text   NEWS

Details

biocViews Bioinformatics, CellBasedAssays, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version 1.8.22
In Bioconductor since BioC 2.13 (R-3.0) (2.5 years)
License Artistic-2.0
Depends R (>= 3.1.0), DBI (>= 0.3.1), RSQLite (>= 1.0.0), methods, Matrix, rjson, BiocGenerics(>= 0.13.8)
Imports XML, ChemmineR
LinkingTo
Suggests BiocStyle, RCurl, biomaRt, cellHTS2, knitr, knitcitations, RefManageR, testthat
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 bioassayR_1.8.22.tar.gz
Windows Binary bioassayR_1.8.22.zip
Mac OS X 10.6 (Snow Leopard) bioassayR_1.8.0.tgz
Mac OS X 10.9 (Mavericks) bioassayR_1.8.22.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/bioassayR/tree/release-3.2
Package Short Url http://bioconductor.org/packages/bioassayR/
Package Downloads Report Download Stats

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