Torsten Schön, Martin Stetter, Elmar W. Lang, Physarum Learner: A bio-inspired way of learning structure from data, Expert Systems With Applications, 2014 (in press)


Physarum Learner: A Novel Structure Learning Algorithm for Bayesian Networks inspired by Physarum Polycephalum [PDF], Naturwissenschaftliche Fakultät III, Institut für Biophysik und physikalische Biochemie, Computational Intelligence and Machine Learning Group, University of Regensburg

Torsten Schön, Martin Stetter, Elmar W. Lang, A new Physarum Learner for Network Structure Learning from Biomedical Data, Proceedings of the 6th International Conference in Bio-inspired Systems and Signal Processing BIOSIGNALS 2013, February 11-14, Barcelona, Spain


Torsten Schön, Martin Stetter, Elmar W. Lang, Structure Learning for Bayesian Networks using the Physarum Solver, Proceedings of the 11th International Conference on Machine Learning and Applications ICMLA 2012, December 12-15, Boca Raton, Florida, USA

Torsten Schön , Alexey Tsymbal , Martin Huber, Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data, Intelligent Data Analysis 16-5 (2012), 827-843


Torsten Schön , Alexey Tsymbal , Martin Huber, Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data, Proceedings of the 7th international conference on Rough sets and current trends in computing, June 28-30, 2010, Warsaw, Poland

Diploma Thesis in Bioinformatics
Learning Distance Functions For Gene Expression Data [PDF], Department of Bioinformatics, Hochschule Weihenstephan-Triesdorf in Freising in Cooperation with Siemens AG, CT T DE TC 4, Erlangen