aggreg.judgement

aggregJudgement

aggreg.judgement-data


Aggreg.judgement includes a PCM computed from aggregation of decision makers opinions. The PCM includes 4 criteria to prioritize a set of genes of interest according to their potential to serve as a tumor marker/therapeutic target. The criteria include: Tumor_expression, Normal_expression, Frequency, and Epitopes.


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

aggreg.judgement-data function

Aggreg.judgement includes a PCM computed from aggregation of decision makers opinions. The PCM includes 4 criteria to prioritize a set of genes of interest according to their potential to serve as a tumor marker/therapeutic target. The criteria include: Tumor_expression, Normal_expression, Frequency, and Epitopes.

aggreg.judgement-data: A pairwise comparison matrix (PCM)

Description

Arguments

References