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Features of sequence composition and population genetical measures of selection to analyse alternatively spliced exons and introns

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14th Annual International Conference on Intelligent Systems For Molecular Biology, стр. L-30. Fortaleza, Brazil, (6-10 August 2006)

Аннотация

Short Abstract: We have developed a binary classifier based on Genetic Programming (GP) to predict whether a given gene sequence is spliced constitutively or alternatively. The prediction accuracies are greater than 85percent on the dataset of retained introns. Furthermore we showed that skipped exons show traces of positive selection.

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