31 Greg Paperin 2008 Genetic and Evolutionary Computation Conference 2008 (GECCO’08) Atlanta, USA Association for Computing Machinery 1135-1136 978-1-60558-130-9 protein localisation, classifier, machine learning, pattern learning A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. While traditional machine learning techniques present a black-box approach to this problem, the current method explicitly represents the discovered localisation motifs. A combined multi-class location classifier is presented and compared to other techniques based on genetic programming. Without consideration of additional structural information the presented method outperforms the alternative techniques. http://portal.acm.org/citation.cfm?id=1389095.1389315