Distributional fold change test - a statistical approach for detecting differential expression in microarray experiments.

ABSTRACT:

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Background

Because of the large volume of data and the intrinsic variation of data intensity observed in microarray experiments, different statistical methods have been used to systematically extract biological information and to quantify the associated uncertainty. The simplest method to identify differentially expressed genes is to evaluate the ratio of average intensities in two different conditions and consider all genes that differ by more than an arbitrary cut-off value to be differentially expressed. This filtering approach is not a statistical test and there is no associated value that can indicate the level of confidence in the designation of genes as differentially expressed or not differentially expressed. At the same time the fold change by itself pro

SUBMITTER: Farztdinov V 

PROVIDER: S-EPMC3526407 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature