A Simple Rank Product Approach for Analyzing Two Classes | Zendy

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A Simple Rank Product Approach for Analyzing Two Classes

Author(s) -

Tae Young Yang

Publication year - 2015

Publication title -

bioinformatics and biology insights

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.556

H-Index - 23

ISSN - 1177-9322

DOI - 10.4137/bbi.s26414

Subject(s) - statistic , rank (graph theory) , product (mathematics) , class (philosophy) , statistics , simple (philosophy) , null hypothesis , mathematics , null distribution

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.

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