Takeyuki Tamura

Summary

Affiliation: Kyoto University
Country: Japan

Publications

  1. ncbi Integer programming-based method for completing signaling pathways and its application to analysis of colorectal cancer
    Takeyuki Tamura
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan
    Genome Inform 24:193-203. 2010
  2. ncbi Analysis and prediction of nutritional requirements using structural properties of metabolic networks and support vector machines
    Takeyuki Tamura
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan
    Genome Inform 22:176-90. 2010
  3. ncbi A clique-based method for the edit distance between unordered trees and its application to analysis of glycan structures
    Daiji Fukagawa
    Faculty of Culture and Information Science, Doshisha University, Kyoto 610 0394, Japan
    BMC Bioinformatics 12:S13. 2011
  4. ncbi Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition
    Takeyuki Tamura
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611 0011, Japan
    BMC Bioinformatics 8:466. 2007
  5. ncbi Finding a periodic attractor of a Boolean network
    Tatsuya Akutsu
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan
    IEEE/ACM Trans Comput Biol Bioinform 9:1410-21. 2012
  6. ncbi Determining a singleton attractor of a boolean network with nested canalyzing functions
    Tatsuya Akutsu
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyot, Japan
    J Comput Biol 18:1275-90. 2011
  7. ncbi Network completion using dynamic programming and least-squares fitting
    Natsu Nakajima
    Bioinformatics Center, Institute for Chemical Research, Kyoto University Gokasho, Uji, Kyoto 611 0011, Japan
    ScientificWorldJournal 2012:957620. 2012
  8. ncbi Compound analysis via graph kernels incorporating chirality
    J B Brown
    Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan
    J Bioinform Comput Biol 8:63-81. 2010
  9. ncbi A clique-based method using dynamic programming for computing edit distance between unordered trees
    Tomoya Mori
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, Japan
    J Comput Biol 19:1089-104. 2012
  10. ncbi A dynamic programming algorithm to predict synthesis processes of tree-structured compounds with graph grammar
    Yang Zhao
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611 0011, Japan
    Genome Inform 24:218-29. 2010

Collaborators

Detail Information

Publications10

  1. ncbi Integer programming-based method for completing signaling pathways and its application to analysis of colorectal cancer
    Takeyuki Tamura
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan
    Genome Inform 24:193-203. 2010
    ..In this paper, we develop an integer programming-based method for inferring such changes by using gene expression data. We test our method on its ability to reconstruct the pathway of colorectal cancer in the KEGG database...
  2. ncbi Analysis and prediction of nutritional requirements using structural properties of metabolic networks and support vector machines
    Takeyuki Tamura
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan
    Genome Inform 22:176-90. 2010
    ..Furthermore, we study which properties are influential to the nutritional requirements...
  3. ncbi A clique-based method for the edit distance between unordered trees and its application to analysis of glycan structures
    Daiji Fukagawa
    Faculty of Culture and Information Science, Doshisha University, Kyoto 610 0394, Japan
    BMC Bioinformatics 12:S13. 2011
    ..However, it is known that computation of the edit distance for rooted unordered trees is NP-hard. Furthermore, there is almost no available software tool that can compute the exact edit distance for unordered trees...
  4. ncbi Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition
    Takeyuki Tamura
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611 0011, Japan
    BMC Bioinformatics 8:466. 2007
    ..Since existing predictors are based on various heuristics, it is important to develop a simple method with high prediction accuracies...
  5. ncbi Finding a periodic attractor of a Boolean network
    Tatsuya Akutsu
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan
    IEEE/ACM Trans Comput Biol Bioinform 9:1410-21. 2012
    ..For finding an attractor of a fixed period of a BN consisting of n nested canalyzing functions and having constant treewidth w, we present an O(n(2p(w+1))poly(n)) time algorithm...
  6. ncbi Determining a singleton attractor of a boolean network with nested canalyzing functions
    Tatsuya Akutsu
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyot, Japan
    J Comput Biol 18:1275-90. 2011
    ..Finally, we present an o(2(n)) time algorithm for bounded degree BNs consisting of canalyzing functions...
  7. ncbi Network completion using dynamic programming and least-squares fitting
    Natsu Nakajima
    Bioinformatics Center, Institute for Chemical Research, Kyoto University Gokasho, Uji, Kyoto 611 0011, Japan
    ScientificWorldJournal 2012:957620. 2012
    ..We also perform computational experiments using both artificially generated and real gene expression time series data...
  8. ncbi Compound analysis via graph kernels incorporating chirality
    J B Brown
    Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan
    J Bioinform Comput Biol 8:63-81. 2010
    ....
  9. ncbi A clique-based method using dynamic programming for computing edit distance between unordered trees
    Tomoya Mori
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, Japan
    J Comput Biol 19:1089-104. 2012
    ..For large tree-structures, the improved method is much faster than the previous method. In particular, for hard instances, the improved method achieved more than 100 times speed-up...
  10. ncbi A dynamic programming algorithm to predict synthesis processes of tree-structured compounds with graph grammar
    Yang Zhao
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611 0011, Japan
    Genome Inform 24:218-29. 2010
    ..In order to represent rules corresponding to chemical reactions, we employ a subclass of NLC (Node Label Controlled) grammars. We also give some computational results on this algorithm...