This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see Prize.
Bioconductor version: 3.10
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 (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Prize")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Prize")
R Script | Prize: an R package for prioritization estimation based on analytic hierarchy process | |
Reference Manual | ||
Text | NEWS |
biocViews | CellBiology, GeneExpression, ImmunoOncology, MultipleComparison, RNASeq, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (4.5 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 | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Prize_1.16.0.tar.gz |
Windows Binary | Prize_1.16.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | Prize_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Prize |
Source Repository (Developer Access) | git clone [email protected]:packages/Prize |
Package Short Url | https://bioconductor.org/packages/Prize/ |
Package Downloads Report | Download Stats |
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