Identifying splice-junction sequences by hierarchical multiclassifier

Authors:
Alessandra Lumini;Loris Nanni
Affiliations:
DEIS, IEIIT - CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;DEIS, IEIIT - CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Venue:
Pattern Recognition Letters
Year:
2006

Citing 3
Cited 1

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Brief communication: Classification of splice-junction sequences via weighted position specific scoring approach

Computational Biology and Chemistry

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Abstract

Splice sites are locations in DNA which separate protein-coding regions (exons) from noncoding regions (introns). Recently, several works have approached the splice-junction problem by applying methods from the field of machine learning techniques. In this work, we propose a hierarchical multiclassifier (HM) architecture, whose results show a drastically error reduction with respect to the performance of methods proposed in the literature.