Togninalli, M.; Seren, Ü.; Hu, M.; Fitz, J.; Nordborg, M.; Weigel, D.; Borgwardt, K.; Korte, A.; Grimm, D.: The AraGWAS Catalog: A curated and standardized Arabidopsis thaliana GWAS catalog. Nucleic Acids Research 46 (D1), pp. D1150 - D1156 (2018)

Li, L.; He, X.; Borgwardt, K.: Multi-target drug repositioning by bipartite block-wise sparse multi-task learning. BMC Systems Biology 12 (S4), 55 (2018)

Togninalli, M.; Roqueiro, D.; Investigators, C. O.; Borgwardt, K. M.: Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohorts. Bioinformatics 34 (17), pp. i687 - i696 (2018)

Sugiyama, M.; Ghisu, M. E.; Llinares-López, F.; Borgwardt, K.: graphkernels: R and Python packages for graph comparison. Bioinformatics 34 (3), pp. 530 - 532 (2017)

Grimm, D. G.; Roqueiro, D.; Salomé, P. A.; Kleeberger, S.; Greshake, B.; Zhu, W.; Liu, C.; Lippert, C.; Stegle, O.; Schölkopf, B. et al.; Weigel, D.; Borgwardt, K.: easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies. The Plant Cell 29 (1), pp. 5 - 19 (2017)

He, X.; Gumbsch, T.; Roqueiro, D.; Borgwardt, K.: Kernel Conditional Clustering. 2017 IEEE International Conference on Data Mining (ICDM), pp. 157 - 166 (2017)

Llinares-López, F.; Papaxanthos, L.; Bodenham, D.; Roqueiro, D.; Investigators, C. O.; Borgwardt, K.: Genome-wide genetic heterogeneity discovery with categorical covariates. Bioinformatics 33 (12), pp. 1820 - 1828 (2017)

Seren, Ü.; Grimm, D.; Fitz, J.; Weigel, D.; Nordborg, M.; Borgwardt, K.; Korte, A.: AraPheno: a public database for Arabidopsis thaliana phenotypes. Nucleic Acids Research 45 (D1), pp. D1054 - D1059 (2017)

Alonso-Blanco, C.; Andrade, J.; Becker, C.; Bemm, F.; Bergelson, J.; Borgwardt, K. M.; Cao, J.; Chae, E.; Dezwaan, T. M.; Ding, W. et al.; Ecker, J. R.; Exposito-Alonso, M.; Farlow, A.; Fitz, J.; Gan, X.; Grimm, D. G.; Hancock, A. M.; Henz, S. R.; Holm, S.; Horton, M.; Jarsulic, M.; Kerstetter, R. A.; Korte, A.; Korte, P.; Lanz, C.; Lee, C.-R.; Meng, D.; Michael, T. P.; Mott, R.; Muliyati, N. W.; Nägele, T.; Nagler, M.; Nizhynska, V.; Nordborg, M.; Novikova, P. Y.; Picó, F. X.; Platzer, A.; Rabanal, F. A.; Rodriguez, A.; Rowan, B. A.; Salomé, P. A.; Schmid, K. J.; Schmitz, R. J.; Seren, Ü.; Sperone, F. G.; Sudkamp, M.; Svardal, H.; Tanzer, M. M.; Todd, D.; Volchenboum, S. L.; Wang, C.; Wang, G.; Wang, X.; Weckwerth, W.; Weigel, D.; Zhou, X.: 1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana. Cell 166 (2), pp. 481 - 491 (2016)

McGaughran, A.; Rödelsperger, C.; Grimm, D. G.; Meyer, J. M.; Moreno, E.; Morgan, K.; Leaver, M.; Serobyan, V.; Rakitsch, B.; Borgwardt, K. M. et al.; Sommer, R. J.: Genomic Profiles of Diversification and Genotype–Phenotype Association in Island Nematode Lineages. Molecular Biology and Evolution 33 (9), pp. 2257 - 2272 (2016)

Papaxanthos, L.; Llinares-López, F.; Bodenham, D.; Borgwardt, K.: Finding significant combinations of features in the presence of categorical covariates. Advances in Neural Information Processing Systems 29 (NIPS 2016), pp. 2271 - 2279 (2016)

Seymour, D. K.; Chae, E.; Grimm, D. G.; Martín Pizarro, C.; Habring-Müller, A.; Vasseur, F.; Rakitsch, B.; Borgwardt, K. M.; Koenig, D.; Weigel, D.: Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids. Proceedings of the National Academy of Sciences 113 (46), pp. 7317 - 7326 (2016)

Eduati, F.; Mangravite, L. M.; Wang, T.; Tang, H.; Bare, J. C.; Huang, R.; Norman, T.; Kellen, M.; Menden, M. P.; Yang, J. et al.; Zhan, X.; Zhong, R.; Xiao, G.; Xia, M.; Abdo, N.; Kosyk, O.; NIEHS-NCATS-UNC DREAM Toxicogenetics Collaboration, T.; Friend, S.; Dearry, A.; Simeonov, A.; Tice, R. R.; Rusyn, I.; Wright, F. A.; Stolovitzky, G.; Xie, Y.; Saez-Rodriguez, J.: Prediction of human population responses to toxic compounds by a collaborative competition. Nature Biotechnology 33 (9), pp. 933 - 940 (2015)

Grimm, D. G.; Azencott, C.; Aicheler, F.; Gieraths, U.; MacArthur, D. G.; Samocha, K. E.; Cooper, D. N.; Stenson, P. D.; Daly, M. J.; Smoller, J. W. et al.; Duncan, L. E.; Borgwardt, K. M.: The Evaluation of Tools Used to Predict the Impact of Missense Variants Is Hindered by Two Types of Circularity. Human Mutation 36 (5), pp. 513 - 523 (2015)

Hagmann, J.; Becker, C.; Müller, J.; Stegle, O.; Meyer, R. C.; Wang, G.; Schneeberger, K.; Fitz, J.; Altmann, T.; Bergelson, J. et al.; Borgwardt, K.; Weigel, D.: Century-scale Methylome Stability in a Recently Diverged Arabidopsis thaliana Lineage. PLOS Genetics 11 (1), e1004920 (2015)

Llinares-López, F.; Grimm, D. G.; Bodenham, D. A.; Gieraths, U.; Sugiyama, M.; Rowan, B.; Borgwardt, K.: Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. Bioinformatics 31 (12), pp. i240 - i249 (2015)

Llinares-López, F.; Sugiyama, M.; Papaxanthos, L.; Borgwardt, K.: Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. KDD '15: The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 725 - 734 (2015)

Roqueiro, D.; Witteveen, M. J.; Anttila, V.; Terwindt, G. M.; van den Maagdenberg, A.; Borgwardt, K.: In silico phenotyping via co-training for improved phenotype prediction from genotype. Bioinformatics 31 (12), pp. i303 - i310 (2015)

Sugiyama, M.; Borgwardt, K.: Halting in Random Walk Kernels. Advances in Neural Information Processing Systems 28 (NIPS 2015), pp. 1639 - 1647 (2015)

Sugiyama, M.; López, F. L.; Kasenburg, N.; Borgwardt, K.: Significant Subgraph Mining with Multiple Testing Correction. Proceedings of the 2015 SIAM International Conference on Data Mining (SDM), pp. 37 - 45 (2015)