ARH: predicting splice variants from genome-wide data with modified entropy

Rasche, Axel; Herwig, Ralf
January 2010
Bioinformatics;Jan2010, Vol. 26 Issue 1, p84
Academic Journal
Motivation: Exon arrays allow the quantitative study of alternative splicing (AS) on a genome-wide scale. A variety of splicing prediction methods has been proposed for Affymetrix exon arrays mainly focusing on geometric correlation measures or analysis of variance. In this article, we introduce an information theoretic concept that is based on modification of the well-known entropy function.


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