normal_exp_rating

normalExpRating

normal_exp_rating-data


The rating categories and computed idealised priorities of alternatives (genes) with respect to their expression in healthy (normal) tissues. This matrix is computed by the rating() function. 


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.

Daryanaz Dargahi

Prize

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

normal_exp_rating-data function

The rating categories and computed idealised priorities of alternatives (genes) with respect to their expression in healthy (normal) tissues. This matrix is computed by the rating() function.

normal_exp_rating-data: Rating categories and idealised priorities

Description

Arguments