Comparing segmentations by applying randomization techniques.

ABSTRACT:

Background

There exist many segmentation techniques for genomic sequences, and the segmentations can also be based on many different biological features. We show how to evaluate and compare the quality of segmentations obtained by different techniques and alternative biological features.

Results

We apply randomization techniques for evaluating the quality of a given segmentation. Our example applications include isochore detection and the discovery of coding-noncoding structure. We obtain segmentations of relevant sequences by applying different techniques, and use alternative features to segment on. We show that some of the obtained segmentations are very similar to the underlying true segmentations, and this similarity is statistically significant. For some other segmentat

SUBMITTER: Haiminen N 

PROVIDER: S-EPMC1904250 | biostudies-literature | 2007 May

REPOSITORIES: biostudies-literature