A self-organizing feature map for clustering nucleic acids Application to a data matrix containing A-DNA and B-DNA dinucleotides

摘要

A self-organizing feature map to cluster DNA dinucleotides is resented. During a training session 244 training patterns, each consisting of nine torsion angles, are clustered in a 10 by 10 map. The method is successful for separating the four known DNA classes in the training set. Contour plots of the weights after a training session indicate gradients in torsion angles corresponding to class separation.