Search results

Journal Article (17)

  1. 1.
    Seymour, D. K.; Chae, E.; Grimm, D.; Martin Pizarro, C.; Habring-Müller, A.; Vasseur, F.; Rakitsch, B.; Borgwardt, K.; Koenig, D.; Weigel, D.: Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids. Proceedings of the National Academy of Sciences of the United States of America 113 (46), pp. E7317 - E7326 (2016)
  2. 2.
    Fusi, N.; Lippert, C.; Borgwardt, K. M.; Lawrence, N.; Stegle, O.: Detecting regulatory gene-environment interactions with unmeasured environmental factors. Bioinformatics 29 (11), pp. 1382 - 1389 (2013)
  3. 3.
    Drewe, P.; Stegle, O.; Hartmann, L.; Kahles, A.; Bohnert, R.; Wachter, A.; Borgwardt, K. M.; Rätsch, G.: Accurate detection of differential RNA processing. Nucleic Acids Research (London) 41 (10), pp. 5189 - 5198 (2013)
  4. 4.
    Grimm, D.; Hagmann, J.; Koenig, D.; Weigel, D.; Borgwardt, K. M.: Accurate indel prediction using paired-end short reads. BMC Genomics (2013)
  5. 5.
    Azencott, C.-A.; Grimm, D.; Sugiyama, M.; Kawahara, Y.; Borgwardt, K.: Efficient network-guided multi-locus association mapping with graph cuts. Bioinformatics 29 (13), pp. 171 - 179 (2013)
  6. 6.
    Rakitsch, B.; Lippert, C.; Stegle, O.; Borgwardt, K. M.: LMM-Lasso: A Lasso Multi-Marker Mixed Model for Association Mapping with Population Structure Correction. Bioinformatics 29 (2), pp. 206 - 214 (2013)
  7. 7.
    Kam-Thong, T.; Azencott, C.-A.; Cayton, L.; Pütz, B.; Altmann, A.; Karbalai, N.; Sämann, P.G.; Schölkopf, B.; Müller-Myhsok, B.; Borgwardt, K. M.: GLIDE: GPU-Based Linear Regression for Detection of Epistasis. Human Heredity 73 (4), pp. 220 - 236 (2012)
  8. 8.
    Song, L.; Smola, A.; Gretton, A.; Bedo, J.; Borgwardt, K.: Feature Selection via Dependence Maximization. Journal of Machine Learning Research 13, pp. 1393 - 1434 (2012)
  9. 9.
    Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Two-Sample Test. Journal of Machine Learning Research 13, pp. 723 - 773 (2012)
  10. 10.
    Karaletsos, T.; Stegle, O.; Dreyer, C.; Winn, J.; Borgwardt, K.: ShapePheno: unsupervised extraction of shape phenotypes from biological image collections. Bioinformatics 28 (7), pp. 1001 - 1008 (2012)
  11. 11.
    Windram, O.; Madhou, P.; McHattie, S.; Hill, C.; Hickman, V.; Cooke, E.; Jenkins, D.; Penfold, C.; Baxter, L.; Breeze, E. et al.; Kiddle, S.; Rhodes, J.; Atwell, S.; Kliebenstein, D.; Kim, Y.-S.; Stegle, O.; Borgwardt, K.; Zhang, C.; Tabrett, A.; Legaie, R.; Moore, J.; Finkenstadt, B.; Wild, D.; Mead, A.; Rand, D.; Beynon, J.; Ott, S.; Buchanan-Wollaston, V.; Denby, K.: Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis. The Plant Cell Online (2012)
  12. 12.
    Becker, C.; Hagmann, J.; Müller, J.; Koenig, D.; Stegle, O.; Borgwardt, K.; Weigel, D.: Spontaneous epigenetic variation in the Arabidopsis thaliana methylome. Nature 480 (7376), pp. 245 - 249 (2011)
  13. 13.
    Cao, J.; Schneeberger, K.; Ossowski, S.; Günther, T.; Bender, S.; Fitz, J.; Koenig, D.; Lanz, C.; Stegle, O.; Lippert, C. et al.; Wang, X.; Ott, F.; Müller, J.; Alonso-Blanco, C.; Borgwardt, K.; Schmid, K. J.; Weigel, D.: Whole-genome sequencing of multiple Arabidopsis thaliana populations. Nature Genetics 43 (10), pp. 956 - 963 (2011)
  14. 14.
    Shervashidze, N.; Schweitzer, P.; van Leeuwen, E. J.; Mehlhorn, K.; Borgwardt, K. M.: Weisfeiler-Lehman Graph Kernels. Journal of Machine Learning Research 12, pp. 2539 - 2561 (2011)
  15. 15.
    Kam-Thong, T.; Pütz, B.; Karbalai, N.; Müller−Myhsok, B.; Borgwardt, K.: Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs. Bioinformatics 27 (13: ISMB/ECCB 2011), pp. i214 - i221 (2011)
  16. 16.
    Li, L.; Rakitsch, B.; Borgwardt, K.: ccSVM: correcting Support Vector Machines for confounding factors in biological data classification. ISMB/ECCB 2011, btr204, pp. i342 - i348 (2011)
  17. 17.
    Kam-Thong, T.; Czamara, D.; Tsuda, K.; Borgwardt, K.; Lewis, C. M.; Erhardt-Lehmann, A.; Hemmer, B.; Rieckmann, P.; Daake, M.; Weber, F. et al.; Wolf, C.; Ziegler, A.; Pütz, B.; Holsboer, F.; Schölkopf, B.; Müller-Myhsok, B.: EPIBLASTER - fast exhaustive two-locus epistasis detection strategy using graphical processing units. European Journal of Human Genetics 19 (4), pp. 465 - 471 (2011)

Book Chapter (1)

  1. 18.
    Borgwardt, K. M.: Kernel Methods in Bioinformatics. In: Handbook of Statistical Bioinformatics, pp. 317 - 33 (Eds. Lu Schölkopf B., H. H.-S.; Zhao, H.). Springer, Berlin (2011)

Conference Paper (7)

  1. 19.
    Sugiyama, M.; Azencott, C.-A.; Grimm, D.; Kawahara, Y.; Borgwardt, K. M.: Multi-Task Feature Selection on Multiple Networks via Maximum Flows. In: Proceedings of the 2014 SIAM International Conference on Data Mining, pp. 199 - 207 (Ed. Zaki, M.). 2014 SIAM International Conference on Data Mining , Philadelphia, PA, USA, April 24, 2014 - April 26, 2014. Society for Industrial and Applied Mathematics (SIAM) (2014)
  2. 20.
    Feragen, A.; Petersen, J.; Grimm, D.; Dirksen, A.; Pedersen, J. H.; Borgwardt, K. M.; Bruijne, M.: Geometric tree kernels: Classification of COPD from airway tree geometry. In: Information Processing in Medical Imaging, pp. 171 - 183 (Eds. Gee, J.; Joshi, S.). 23rd International Conference on Information Processing in Medical Imaging (IPMI 2013), Asilomar, CA, USA, June 28, 2013 - July 03, 2013. Springer, Berlin - Heidelberg (2013)
 
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