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

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Prize

   

Prize: an R package for prioritization estimation based on analytic hierarchy process

Bioconductor version: 3.2

The high throughput studies often produce large amounts of numerous genes and proteins of interest. While it is difficult to study and validate all of them. Analytic Hierarchy Process (AHP) offers a novel approach to narrowing down long lists of candidates by prioritizing them based on how well they meet the research goal. AHP is a mathematical technique for organizing and analyzing complex decisions where multiple criteria are involved. The technique structures problems into a hierarchy of elements, and helps to specify numerical weights representing the relative importance of each element. Numerical weight or priority derived from each element allows users to find alternatives that best suit their goal and their understanding of the problem.

Author: Daryanaz Dargahi <daryanazdargahi at gmail.com>

Maintainer: Daryanaz Dargahi <daryanazdargahi at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("Prize")

 

PDF Prize: an R package for prioritization estimation based on analytic hierarchy process
PDF   Reference Manual
Text   NEWS

Details

biocViews CellBiology, GeneExpression, MultipleComparison, RNASeq, Software
Version 1.0.0
In Bioconductor since BioC 3.2 (R-3.2) (0.5 years)
License Artistic-2.0
Depends
Imports diagram, stringr, ggplot2, reshape2, grDevices, matrixcalc, stats, gplots, methods, utils, graphics
LinkingTo
Suggests RUnit, BiocGenerics
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 Prize_1.0.0.tar.gz
Windows Binary Prize_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) Prize_1.0.0.tgz
Mac OS X 10.9 (Mavericks) Prize_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/Prize/tree/release-3.2
Package Short Url http://bioconductor.org/packages/Prize/
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