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.
Package details |
|
---|---|
Author | Daryanaz Dargahi <daryanazdargahi@gmail.com> |
Bioconductor views | CellBiology GeneExpression ImmunoOncology MultipleComparison RNASeq Software |
Maintainer | Daryanaz Dargahi <daryanazdargahi@gmail.com> |
License | Artistic-2.0 |
Version | 1.17.0 |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.