The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison.

ABSTRACT:

Background

Analysis of DNA microarray data takes as input spot intensity measurements from scanner software and returns differential expression of genes between two conditions, together with a statistical significance assessment. This process typically consists of two steps: data normalization and identification of differentially expressed genes through statistical analysis. The Expresso microarray experiment management system implements these steps with a two-stage, log-linear ANOVA mixed model technique, tailored to individual experimental designs. The complement of tools in TM4, on the other hand, is based on a number of preset design choices that limit its flexibility. In the TM4 microarray analysis suite, normalization, filter, and analysis methods form an analysis pipeline. T

SUBMITTER: Sioson AA 

PROVIDER: S-EPMC1513403 | biostudies-literature | 2006 Apr

REPOSITORIES: biostudies-literature