Researcher Portfolio
Tsuda, Koji
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, Max Planck Institute for Biological Cybernetics, Max Planck Society
Researcher Profile
Position: Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society
Additional IDs: ORCID:
https://orcid.org/0000-0002-4288-1606
MPIKYB: tsuda
MPIKYB: tsuda
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons84265
Publications
(1 - 25 of 86)
: Stuttmann, J., Peine, N., Garcia, A. V., Wagner, C., Choudhury, S. R., Wang, Y., James, G. V., Griebel, T., Alcázar, R., Tsuda, K., Schneeberger, K., & Parker, J. E. (2016). Arabidopsis thaliana DM2h (R8) within the Landsberg RPP1-like Resistance Locus Underlies Three Different Cases of EDS1-Conditioned Autoimmunity. PLoS Genetics, 12(4): e1005990. doi:10.1371/journal.pgen.1005990. [PubMan] : Yamada, K., Yamaguchi, K., Shirakawa, T., Nakagami, H., Mine, A., Ishikawa, K., Fujiwara, M., Narusaka, M., Narusaka, Y., Ichimura, K., Kobayashi, Y., Matsui, H., Nomura, Y., Nomoto, M., Tada, Y., Fukao, Y., Fukamizo, T., Tsuda, K., Shirasu, K., Shibuya, N., & Kawasaki, T. (2016). The Arabidopsis CERK1-associated kinase PBL27 connects chitin perception to MAPK activation. EMBO Journal, 35(22), 2468-2483. doi:10.15252/embj.201694248. [PubMan] : Yamada, K., Yamashita-Yamada, M., Hirase, T., Fujiwara, T., Tsuda, K., Hiruma, K., & Saijo, Y. (2016). Danger peptide receptor signaling in plants ensures basal immunity upon pathogen-induced depletion of BAK1. EMBO Journal, 35(1), 46-61. doi:10.15252/embj.201591807. [PubMan] : Tsuda, K. (2012). Data Mining for Biologists. International Journal of Knowledge Discovery in Bioinformatics, 3(4), 1-14. doi:10.4018/ijkdb.2012100101. [PubMan] : Kam-Thong, T., Czamara, D., Tsuda, K., Borgwardt, K., Lewis, C., Erhardt-Lehmann, A., Hemmer, B., Rieckmann, P., Daake, M., Weber, F., Wolf, C., Ziegler, A., Pütz, B., Holsboer, F., Schölkopf, B., & Müller-Myhsok, B. (2011). EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units. European Journal of Human Genetics, 19(4), 465-471. doi:10.1038/ejhg.2010.196. [PubMan] : Kam-Thong, T., Czamara, D., Tsuda, K., Borgwardt, K., Lewis, C., Erhardt-Lehmann, A., Hemmer, B., Rieckmann, P., Daake, M., Weber, F., Wolf, C., Ziegler, A., Pütz, B., Holsboer, F., Schölkopf, B., & Müller-Myhsok, B. (2011). EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units. European Journal of Human Genetics, 19(4), 465-471. doi:10.1038/ejhg.2010.196. [PubMan] : Georgii, E., Tsuda, K., & Schölkopf, B. (2011). Multi-way set enumeration in weight tensors. Machine Learning, 82(2), 123-155. doi:10.1007/s10994-010-5210-y. [PubMan] : Georgii, E., Tsuda, K., & Schölkopf, B. (2011). Multi-way set enumeration in weight tensors. Machine Learning, 82(2), 123-155. doi:10.1007/s10994-010-5210-y. [PubMan] : Tsuda, K., & Georgii, E. (2009). Dense module enumeration in biological networks. Bristol, UK: Institute of Physics. doi:10.1088/1742-6596/197/1/012012. [PubMan] : Tsuda, K., & Georgii, E. (2009). Dense module enumeration in biological networks. Bristol, UK: Institute of Physics. doi:10.1088/1742-6596/197/1/012012. [PubMan] : Georgii, E., Tsuda, K., & Schölkopf, B. (2009). Multi-way set enumeration in real-valued tensors. In T. Ding, & C. Li (Eds. ), Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors (DMMT 2009) (pp. 32-41). New York, NY, USA: ACM Press. [PubMan] : Georgii, E., Tsuda, K., & Schölkopf, B. (2009). Multi-way set enumeration in real-valued tensors. In T. Ding, & C. Li (Eds. ), Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors (DMMT 2009) (pp. 32-41). New York, NY, USA: ACM Press. [PubMan] : Kashima, H., Kato, T., Yamanishi, Y., Sugiyama, M., & Tsuda, K. (2009). Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. In H. Park, S. Parthasarathy, & H. Liu (Eds. ), 2009 SIAM International Conference on Data Mining (SDM 2009) (pp. 1099-1110). Society for Industrial and Applied Mathematics: Philadelphia, PA, USA. [PubMan] : Chiappa, S., Saigo, H., & Tsuda, K. (2009). A Bayesian Approach to Graph Regression with Relevant Subgraph Selection. In H. Park, S. Parthasarathy, & H. Liu (Eds. ), 2009 SIAM International Conference on Data Mining (pp. 295-304). Philadelphia, PA, USA: Society for Industrial and Applied Mathematics. [PubMan] : Kashima, H., Oyama, S., Yamanishi, Y., & Tsuda, K. (2009). On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. In T. Theeramunkong, B. Kijsirikul, N. Cercone, & T.-B. Ho (Eds. ), Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 (pp. 1030-1037). Berlin, Germany: Springer. [PubMan] : Georgii, E., Dietmann, S., Uno, T., Pagel, P., & Tsuda, K. (2009). Enumeration of condition-dependent dense modules in protein interaction networks. Bioinformatics, 25(7), 933-940. doi:10.1093/bioinformatics/btp080. [PubMan] : Georgii, E., Dietmann, S., Uno, T., Pagel, P., & Tsuda, K. (2009). Enumeration of condition-dependent dense modules in protein interaction networks. Bioinformatics, 25(7), 933-940. doi:10.1093/bioinformatics/btp080. [PubMan] : Dietmann, S., Georgii, E., Antonov, A., Tsuda, K., & Mewes, H.-W. (2009). The DICS repository: module-assisted analysis of disease-related gene lists. Bioinformatics, 25(6), 830-831. doi:10.1093/bioinformatics/btp055. [PubMan] : Tsuda, K. (2009). Data Mining for Biologists. In S.-K. Ng, & X.-L. Li (Eds. ), Biological Data Mining in Protein Interaction Networks (pp. 14-27). Hershey, PA, USA: Medical Information Science Reference. [PubMan] : Tsuda, K. (2009). Machine learning with quantum relative entropy. In H. Hayashi, J.-I. Inoue, Y. Kabashima, & K. Tanaka (Eds. ), International Workshop on Statistical-Mechanical Informatics (IW-SMI 2008) (pp. 1-9). Bristol, UK: Institute of Physics. doi:10.1088/1742-6596/143/1/012021. [PubMan] : Saigo, H., Kadowaki, T., & Tsuda, K. (2009). A Linear Programming Approach for Molecular QSAR analysis. In T. Gärtner, G. Garriga, & T. Meinl (Eds. ), MLG 2006: Proceedings of the International Workshop on Mining and Learning with Graphs in conjunction with ECML/PKDD 2006 (pp. 85-96). Konstanz, Germany: Bibliothek der Universität Konstanz. [PubMan] : Nowozin, S., & Tsuda, K. (2008). Frequent Subgraph Retrieval in Geometric Graph Databases. In F. Giannotti, D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, & X. Wu (Eds. ), 2008 Eighth IEEE International Conference on Data Mining (pp. 953-958). Piscataway, NJ, USA: IEEE. [PubMan] : Saigo, H., & Tsuda, K. (2008). Iterative Subgraph Mining for Principal Component Analysis. In F. Giannotti, D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, & X. Wu (Eds. ), 2008 Eighth IEEE International Conference on Data Mining (pp. 1007-1012). Piscataway, NJ, USA: IEEE. [PubMan] : Borgwardt, K., Tsuda, K., Vishwanathan, S., & Yan, X. (2008). Structured Input - Structured Output. Talk presented at NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008). Whistler, BC, Canada. 2008-12-12. [PubMan] : Shervashidze, N., & Tsuda, K. (2008). Logistic Regression for Graph Classification. In NIPS 2008: Mini Symposia & Workshops (pp. 75). [PubMan]