Enhancers are stretches of DNA that play a major role in development geneexpression. They contain short DNA motifs so that their classification can be addressed by alignment-free compositional approaches. The contributions of this work are the development of the statistical properties of entropic profiles and the definition of new similarity measures derived from them. Experiments on both simulated and real enhancers reveal that the multi-resolution property enhances the similarity scores

New Robust Similarity Measures Derived from Entropic Profiles

Antonello, Morris
2014/2015

Abstract

Enhancers are stretches of DNA that play a major role in development geneexpression. They contain short DNA motifs so that their classification can be addressed by alignment-free compositional approaches. The contributions of this work are the development of the statistical properties of entropic profiles and the definition of new similarity measures derived from them. Experiments on both simulated and real enhancers reveal that the multi-resolution property enhances the similarity scores
2014-07-14
enhancers, tbfs, alignment-free, multi-resolution, entropic profiles, expectation, variance, covariance
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/18569