ROKU: a novel method for identification of tissue-specific genes.

ABSTRACT:

Background

One of the important goals of microarray research is the identification of genes whose expression is considerably higher or lower in some tissues than in others. We would like to have ways of identifying such tissue-specific genes.

Results

We describe a method, ROKU, which selects tissue-specific patterns from gene expression data for many tissues and thousands of genes. ROKU ranks genes according to their overall tissue specificity using Shannon entropy and detects tissues specific to each gene if any exist using an outlier detection method. We evaluated the capacity for the detection of various specific expression patterns using synthetic and real data. We observed that ROKU was superior to a conventional entropy-based method in its ability to rank genes accordi

SUBMITTER: Kadota K 

PROVIDER: S-EPMC1501047 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature