Background: Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding o...
Self-organizing maps (SOMs) are widely used in several fields of application, from neurobiology to multivariate data analysis. In that context, this paper presents variants of the...
Background: The number of available genome sequences is increasing, and easy-to-use software that enables efficient comparative analysis is needed. Results: We developed GenomeMat...
Modern presentation software is still built around interaction metaphors adapted from traditional slide projectors. We provide an analysis of the problems in this application genr...
Leonhard Lichtschlag, Thorsten Karrer, Jan O. Borc...
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...