To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Prize")
In most cases, you don't need to download the package archive at all.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Prize")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Prize")
Prize: an R package for prioritization estimation based on analytic hierarchy process | ||
Reference Manual | ||
Text | NEWS |
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 |
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/ |
Package Downloads Report | Download Stats |
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