Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs

In this paper we apply three pattern recognition methods (support vector machine, cluster analysis and principal component analysis) to distinguish regulatory regions from coding and non-coding non regulatory DNA sequences. Using a new feature representation (the degree by which motifs are over- and under-represented) we demonstrate the remarkable power of this methodology in identifying regulatory regions of Drosophila melanogaster.

• Type: Conference
• Year: 2008
• Where: ESANN
• Authors: Rene te Boekhorst, Irina I. Abnizova, Lorenz Wernisch
• Keywords: ESANN 2008, Neural Networks, Non Regulatory Dna, Pattern Recognition Methods, Regulatory Regions