A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
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.dblp:conf/esann/BoekhorstAW08 fatcat:6elpi3pgkfeybky4ok5c2w4fjm