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Tsuyoshi Kato
 

  Laboratory
Japanese
 
Profile
Research Interests
Publications
Software
Teaching
Links
 
 

Publications
  Tsuyoshi Kato and Wataru Fujibuchi: Kernel Classification Methods for Cancer Microarray Data, in Medical Biostatistics for Complex Diseases, Wiley, ISBN: 978-3-527-32585-6, 2010 June.  
 

Hiromi Arai, Naoya Tochio, Tsuyoshi Kato, Takanori Kigawa and Masayuki Yamamura:
An accurate prediction method for protein structural class from signal patterns of NMR spectra in the absence of chemical shift assignments,
10th International Conference on Bioinformatics and Bioengineering (BIBE-2010), pp.32-37, Philadelphia, USA (2010).

  
  Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai:
Conic Programming for Multi-Task Learning,
IEEE Transactions on Knowledge and Data Enginieering, Vol.22, No.7, pp. 957-968 (2010). 		 
 

Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama:
A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference,
International Journal of Knowledge Discovery in Bioinformatics (IJKDB), vol. 1, issue 1, pp.66--80, 2010. [pdf]

  
 

Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda:
Simultaneous Prediction of Biological Networks of Multiple Species from Genome-wide Data and Evolutionary Information: A Semi-supervised Approach,
Bioinformatics, Vol.25, No.22, pp.2962-2968, 2009.11. [pdf]

  
  Hisashi Kashima, Tsuyoshi Ide, Tsuyoshi Kato and Masashi Sugiyama:
Recent Advances and Trends in Large-scale Kernel Methods (invited paper),
IEICE Transactions on on Information and Systems, 2009, Vol.E92-D No.7 pp.1338-1353. [pdf]		  
  Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda: Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction, In Proc. 2009 SIAM Conference on Data Mining (SDM), pp.1099-1110, Sparks, Nevada. [pdf]  
 

Tsuyoshi Kato, Hisashi Kashima, and Masashi Sugiyama:
Robust Label Propagation on Multiple Networks,
IEEE Transactions on Neural Networks, Vol.20, No.1, pp.35--44, 2009. [pdf]

 
  Tsuyoshi Kato, Hisashi Kashima, and Masashi Sugiyama:
Integration of multiple networks for label propagation,
2008 SIAM International Conference on Data Mining (SDM08), pp.716-726 [pdf][ppt]. 		 
 

Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai:
Multi-task learning via conic programming,
In J. C. Platt, D. Koller, Y. Singer, and S. Roweis (Eds.), Advances in Neural Information Processing Systems 20, pp.737-744, Cambridge, MA, MIT Press, 2008, presented at Twenty-First Annual Conference on Neural Information Processing Systems (NIPS2007) [pdf].

 
  Tsuyoshi Kato, Hisashi Kashima, and Masashi Sugiyama:
Probabilistic label propagation on multiple networks,
IBIS2007, pp.43--48. 		 
  Wataru Fujibuchi* and Tsuyoshi Kato*:
Classification of Heterogeneous Microarray Data by Maximum Entropy Kernel,
BMC Bioinformatics, 8:267, July 2007, (*These authors contributed equally.) [pdf][suppl][software]
  
  Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai: Learning Kernels from Distance Constraints, IPSJ Journal, Vol.47 No.SIG10, pp.1--11, July, 2006.
 
  Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai:
Kernels for Noisy Microarray Data,
Meeting on Image Recognition and Understanding 2006.		  
  Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai:
Kernels for Noisy Microarray Data,
CBRC Technical Report, AIST-02-J00001-8.Jun. 12, 2006. pdf
  
  Tsuyoshi Kato, Kiyoshi Asai, Paul B. Horton, Koji Tsuda, Wataru Fujibuchi: Network-based Noise Reduction for Microarray Data, Subspace 2006.  
  Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi Asai, Paul B. Horton, Koji Tsuda, Wataru Fujibuchi:
Drug-response prediction from microarray using network-based de-noising,
IPSJ SIG technical reports, Vol.2006, No.64(20060615) pp. 47-52, 2006-BIO-5-(8). Information Processing Society of Japan (IPSJ) ISSN:09196072, Jun, 2006		  
  Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi Asai, Paul B. Horton, Koji Tsuda, Wataru Fujibuchi:
Network-based de-noising improves prediction from microarray data,
BMC Bioinformatics, vol. 7(Suppl 1):S4, March, 2006.pdf		  
  Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai:
Kernel construction from distance constraints,
CBRC Technical Report, AIST02-J00001-7, pp.1--13, Jun. 21, 2005.		  
  Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai:
Kernel construction from distance constraints,
Meeting on Image Recognition and Understanding 2005.		  
  Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai: Selective integration of multiple biological data for supervised network inference Bioinformatics Advance Access published on February 22, 2005. Bioinformatics, vol. 21, issue 10, pp.2488--2495, May 15 2005, doi:10.1093/bioinformatics/bti339.pdf  
  Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai:
Biological network inference via kernel matrix completion,
The institute of electronics, information and communication engineers (IEICE) Technical Report, NLC2004-97, PRMU2004-179, Tokyo, pp.1--6, Feb, 2005. 		 
  Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai:
Selective Integration of Multiple Genomic Data for Biological Network Inference,
In Proceeding of Genome Informatics 15, Yokohama, P026, Dec., 2004. 		 
  Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai:
A new variational framework for rigid-body alignment,
Structural, Syntactic, and Statistical Pattern Recognition, pp.171--179, Aug., 2004,pdf		  
  Taishin Kin, Tsuyoshi Kato and Koji Tsuda:
Protein Classification via Kernel Matrix Completion,
(Eds.) Schoelkopf, B., K. Tsuda and J.P. Vert , Kernel Methods in Computational Biology, pp.261--274, 2004 		 
  Tsuyoshi Kato, Taishin Kin, Kentaro Tomii, Koji Tsuda, Kiyoshi Asai:
A kernel-based approach for estimating structural similarities from sequences,
CBRC Technical Report, AIST02-J00001-3, pp.1--19, Jan. 20, 2004. 		 
  Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai:
Maximum likelihood superposition of protein structures,
In Proceeding of Genome Informatics 14, pp.488--489, Dec., 2003. 		 
  Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai:
Variational estimation of rigid-body transformation of protein structures,
CBRC Technical Report, AIST02-J00001-2, pp.1-12, Sept. 8, 2003. 		 
  Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai:
Variational inference for estimating direction and position of sequence via HMM and its application to protein structure comparison,
The institute of electronics, information and communication engineers (IEICE) Technical Report, PRMU2003-31, pp.29--34, June, 2003.