_{Publikationen:
Maschinelles Lernen in der Biologie}

Lippert, C.; Listgarten, J.; Liu, Y.; Kadie , C.; Davidson, R.; Heckerman, D.: FaST linear mixed models for genome-wide association studies. Nature Methods 8 (10), S. 833 - 835 (2011)

Shervashidze, N.; Schweitzer, P.; van Leeuwen , E.; Mehlhorn, K.; Borgwardt, M.: Weisfeiler-Lehman Graph Kernels. The Journal of Machine Learning Research 12, S. 2539 - 2561 (2011)

Parts, L.; Stegle, O.; Winn, J.; Durbin, R.: Joint Genetic Analysis of Gene Expression Data with Inferred Cellular Phenotypes. PLoS Genetics 7 (1), S. 1 - 10 (2011)

Achlioptas, P.; Schölkopf, B.; Borgwardt, K.: Two-locus association mapping in subquadratic time. In: 17th ACM SIGKKD Conference on Knowledge Discovery and Data Mining (KDD 2011), S. 726 - 734 (Hg. Apté, C.; Ghosh, J.; Smyth, P.). 17th ACM SIGKKD Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA. ACM Press, New York, NY, USA (2011)

Kam-Thong, T.; Pütz, B.; Karbalai, N.; Müller−Myhsok, B.; Borgwardt, K.: Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs. 19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology (ISMB/ECCB 2011), Wien, Austria, 17. Juli 2011 - 19. Juli 2011. Bioinformatics 27 (13), S. i214 - i221 (2011)

Borgwardt, K.: Two-locus association mapping in subquadratic time. Seminar Series: European Molecular Biology Laboratory, Heidelberg, Germany (2011)