Ranking analysis of microarray data: a powerful method for identifying differentially expressed genes.

ABSTRACT: Microarray technology provides a powerful tool for the expression profile of thousands of genes simultaneously, which makes it possible to explore the molecular and metabolic etiology of the development of a complex disease under study. However, classical statistical methods and technologies fail to be applicable to microarray data. Therefore, it is necessary and motivating to develop powerful methods for large-scale statistical analyses. In this paper, we described a novel method, called Ranking Analysis of Microarray Data (RAM). RAM, which is a large-scale two-sample t-test method, is based on comparisons between a set of ranked T statistics and a set of ranked Z values (a set of ranked estimated null scores) yielded by a "randomly splitting" approach instead of a "permutation" approach

SUBMITTER: Tan YD 

PROVIDER: S-EPMC2584353 | biostudies-literature | 2006 Dec

REPOSITORIES: biostudies-literature