Related Experiment Video
Updated: Apr 5, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
A Simple Rank Product Approach for Analyzing Two Classes
1Department of Mathematics, Myongji University, Yongin, Kyonggi, Korea.
Abstract:
The rank product statistic has been widely used to detect differentially expressed genes in replicated microarrays and a one-class setting. The objective of this article is to apply a rank product statistic to approximate the P-value of differential expression in a two-class setting, such as in normal and cancer cells. For this purpose, we introduce a simple statistic that compares the P-values of each class's rank product statistic. Its null distribution is straightforwardly derived using the change-of-variable technique.
Related Concept Videos
Friedman Two-way Analysis of Variance by Ranks
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
One-Way ANOVA
Ranks
Classification of Systems-II
Predicting Products: Substitution vs. Elimination
The following factors can influence the mechanisms competing against each other:

