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Satoru Miyano: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Satoru Miyano
    Learning Theory Toward Genome Informatics. [Citation Graph (0, 0)][DBLP]
    ALT, 1993, pp:19-36 [Conf]
  2. Ayumi Shinohara, Satoru Miyano
    Teachability in Computational Learning. [Citation Graph (0, 0)][DBLP]
    ALT, 1990, pp:247-255 [Conf]
  3. Hiroshi Matsuno, Shin-Ichi T. Inouye, Yasuki Okitsu, Yasushi Fujii, Satoru Miyano
    A new regulatory interaction suggested by simulations for circadian genetic control mechanism in mammals. [Citation Graph (0, 0)][DBLP]
    APBC, 2005, pp:171-180 [Conf]
  4. Masao Nagasaki, Atsushi Doi, Hiroshi Matsuno, Satoru Miyano
    Integrating Biopathway Databases for Large-scale Modeling and Simulation. [Citation Graph (0, 0)][DBLP]
    APBC, 2004, pp:43-52 [Conf]
  5. Hiroshi Matsuno, Sachie Fujita, Atsushi Doi, Masao Nagasaki, Satoru Miyano
    Towards Biopathway Modeling and Simulation. [Citation Graph (0, 0)][DBLP]
    ICATPN, 2003, pp:3-22 [Conf]
  6. Reiichiro Nakamichi, Seiya Imoto, Satoru Miyano
    Case-Control Study of Binary Disease Trait Considering Interactions between SNPs and Environmental Effects using Logistic Regression. [Citation Graph (0, 0)][DBLP]
    BIBE, 2004, pp:73-78 [Conf]
  7. Satoru Miyano, Takeshi Hayashi
    Alternating Finite Automata on omega-Words. [Citation Graph (0, 0)][DBLP]
    CAAP, 1984, pp:195-210 [Conf]
  8. Seiya Imoto, Tomoyuki Higuchi, SunYong Kim, Euna Jeong, Satoru Miyano
    Residual Bootstrapping and Median Filtering for Robust Estimation of Gene Networks from Microarray Data. [Citation Graph (0, 0)][DBLP]
    CMSB, 2004, pp:149-160 [Conf]
  9. SunYong Kim, Seiya Imoto, Satoru Miyano
    Dynamic Bayesian Network and Nonparametric Regression for Nonlinear Modeling of Gene Networks from Time Series Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    CMSB, 2003, pp:104-113 [Conf]
  10. Satoru Miyano
    Inference, Modeling and Simulation of Gene Networks. [Citation Graph (0, 0)][DBLP]
    CMSB, 2003, pp:207-211 [Conf]
  11. Masao Nagasaki, Atsushi Doi, Hiroshi Matsuno, Satoru Miyano
    Recreating Biopathway Databases towards Simulation. [Citation Graph (0, 0)][DBLP]
    CMSB, 2003, pp:168-169 [Conf]
  12. Satoru Miyano
    Genome Informatics: New Frontiers of Computer Science and Biosciences. [Citation Graph (0, 0)][DBLP]
    CODAS, 1996, pp:12-21 [Conf]
  13. Tatsuya Akutsu, Hideo Bannai, Satoru Miyano, Sascha Ott
    On the Complexity of Deriving Position Specific Score Matrices from Examples. [Citation Graph (0, 0)][DBLP]
    CPM, 2002, pp:168-177 [Conf]
  14. Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
    Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    CSB, 2003, pp:104-113 [Conf]
  15. Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Aburatani, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
    Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network. [Citation Graph (0, 0)][DBLP]
    CSB, 2002, pp:219-227 [Conf]
  16. Tatsuya Akutsu, Satoru Miyano, Satoru Kuhara
    A Simple Greedy Algorithm for Finding Functional Relations: Efficient Implementation and Average Case Anaylsis. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2000, pp:86-98 [Conf]
  17. Hideo Bannai, Satoru Miyano
    A Definition of Discovery in Terms of Generalized Descriptional Complexity. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:316-318 [Conf]
  18. Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano
    VML: A View Modeling Language for Computational Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2001, pp:30-44 [Conf]
  19. Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano
    Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:267-274 [Conf]
  20. Shunsuke Inenaga, Hideo Bannai, Heikki Hyyrö, Ayumi Shinohara, Masayuki Takeda, Kenta Nakai, Satoru Miyano
    Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:32-46 [Conf]
  21. Osamu Maruyama, Takayoshi Shoudai, Emiko Furuichi, Satoru Kuhara, Satoru Miyano
    Learning Conformation Rules. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2001, pp:243-257 [Conf]
  22. Osamu Maruyama, Takayoshi Shoudai, Satoru Miyano
    Toward Drawing an Atlas of Hypothesis Classes: Approximating a Hypothesis via Another Hypothesis Model. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:220-232 [Conf]
  23. Osamu Maruyama, Tomoyuki Uchida, Takayoshi Shoudai, Satoru Miyano
    Toward Genomic Hypothesis Creator: View Designer for Discovery. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:105-116 [Conf]
  24. Osamu Maruyama, Tomoyuki Uchida, Kim Lan Sim, Satoru Miyano
    Designing Views in HypothesisCreator: System for Assisting in Discovery. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:115-127 [Conf]
  25. Yoshinori Tamada, Hideo Bannai, Osamu Maruyama, Satoru Miyano
    Foundations of Designing Computational Knowledge Discovery Processes. [Citation Graph (0, 0)][DBLP]
    Progress in Discovery Science, 2002, pp:459-470 [Conf]
  26. Yoshinori Tamada, SunYong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
    Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. [Citation Graph (0, 0)][DBLP]
    ECCB, 2003, pp:227-236 [Conf]
  27. Naoki Nariai, Yoshinori Tamada, Seiya Imoto, Satoru Miyano
    Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data. [Citation Graph (0, 0)][DBLP]
    ECCB/JBI, 2005, pp:212- [Conf]
  28. Setsuo Arikawa, Satoru Kuhara, Satoru Miyano, Yasuhito Mukouchi, Ayumi Shinohara, Takeshi Shinohara
    A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns. [Citation Graph (0, 0)][DBLP]
    FGCS, 1992, pp:618-625 [Conf]
  29. Satoru Miyano
    Parallel Complexity and P-Complete Problems. [Citation Graph (0, 0)][DBLP]
    FGCS, 1988, pp:532-541 [Conf]
  30. Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano
    Views: Fundamental Building Blocks in the Process of Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:233-238 [Conf]
  31. Satoru Miyano, Ayumi Shinohara
    Machine Learning and Discovery for Bloinformatics: Introduction. [Citation Graph (0, 0)][DBLP]
    HICSS (5), 1994, pp:111-112 [Conf]
  32. Satoru Miyano
    The Lexicographically First Maximal Subgraph Problems: P-Completeness and NC Algorithms. [Citation Graph (0, 0)][DBLP]
    ICALP, 1987, pp:425-434 [Conf]
  33. Osamu Hirose, Naoki Nariai, Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Satoru Miyano
    Estimating Gene Networks from Expression Data and Binding Location Data via Boolean Networks. [Citation Graph (0, 0)][DBLP]
    ICCSA (3), 2005, pp:349-356 [Conf]
  34. Satoru Miyano
    Algorithmic Problems Arising from Genome Informatics (Abstract). [Citation Graph (0, 0)][DBLP]
    ISAAC, 1995, pp:1- [Conf]
  35. Michiel J. L. de Hoon, Yuko Makita, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Kenta Nakai, Satoru Miyano
    Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:101-108 [Conf]
  36. Takayoshi Shoudai, Michael Lappe, Satoru Miyano, Ayumi Shinohara, Takeo Okazaki, Setsuo Arikawa, Tomoyuki Uchida, Shinichi Shimozono, Takeshi Shinohara, Satoru Kuhara
    BONSAI Garden: Parallel Knowledge Discovery System for Amino Acid Sequences. [Citation Graph (0, 0)][DBLP]
    ISMB, 1995, pp:359-358 [Conf]
  37. Osamu Maruyama, Satoru Kuhara, Hideo Bannai, Satoru Miyano, Yoshinori Tamada
    Fast Algorithm for Extracting Multiple Unordered Short Motifs Using Bit Operations. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:1180-1185 [Conf]
  38. Tomohiro Ando, Seiya Imoto, Satoru Miyano
    Functional Data Analysis of the Dynamics of Gene Regulatory Networks. [Citation Graph (0, 0)][DBLP]
    KELSI, 2004, pp:69-83 [Conf]
  39. Satoru Miyano
    Delta2p-Complete Lexicographically First Maximal Subgraph Problems. [Citation Graph (0, 0)][DBLP]
    MFCS, 1988, pp:454-462 [Conf]
  40. Osamu Maruyama, Satoru Miyano
    Inferring a Tree from Walks. [Citation Graph (0, 0)][DBLP]
    MFCS, 1992, pp:383-391 [Conf]
  41. Osamu Maruyama, Satoru Miyano
    Graph Inference from a Walk for TRees of Bounded Degree 3 is NP-Complete. [Citation Graph (0, 0)][DBLP]
    MFCS, 1995, pp:257-266 [Conf]
  42. Setsuo Arikawa, Takeshi Shinohara, Satoru Miyano, Ayumi Shinohara
    More About Learning Elementary Formal Systems. [Citation Graph (0, 0)][DBLP]
    Nonmonotonic and Inductive Logic, 1991, pp:107-117 [Conf]
  43. Tatsuya Akutsu, Satoru Miyano, Satoru Kuhara
    Identification of Genetic Networks from a Small Number of Gene Expression Patterns Under the Boolean Network Model. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 1999, pp:17-28 [Conf]
  44. Hiroshi Matsuno, Ryutaro Murakani, Rie Yamane, Naoyuki Yamasaki, Sachie Fujita, Haruka Yoshimori, Satoru Miyano
    Boundary Formation by Notch Signaling in Drosophila Multicellular Systems: Experimental Observations and Gene Network Modeling by Genomic Object Net. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:152-163 [Conf]
  45. Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano
    Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data of Bacillus Subtilis Using Differential Equations. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:17-28 [Conf]
  46. Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano
    Predicting the Operon Structure of Bacillus subtilis Using Operon Length, Intergene Distance, and Gene Expression Information. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2004, pp:276-287 [Conf]
  47. Seiya Imoto, Takao Goto, Satoru Miyano
    Estimation of Genetic Networks and Functional Structures Between Genes by Using Bayesian Networks and Nonparametric Regression. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2002, pp:175-186 [Conf]
  48. Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Kaori Yasuda, Cristin G. Print, Stephen D. Charnock-Jones, Deborah Sanders, Christopher J. Savoie, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
    Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression Profiles. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2006, pp:559-571 [Conf]
  49. Naoki Nariai, SunYong Kim, Seiya Imoto, Satoru Miyano
    Using Protein-Protein Interactions for Refining Gene Networks Estimated from Microarray Data by Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2004, pp:336-347 [Conf]
  50. Yuko Makita, Michiel J. L. de Hoon, Naotake Ogasawara, Satoru Miyano, Kenta Nakai
    Bayesian Joint Prediction of Associated Transcription Factors in Bacillus subtilis. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2005, pp:- [Conf]
  51. Sascha Ott, Seiya Imoto, Satoru Miyano
    Finding Optimal Models for Small Gene Networks. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2004, pp:557-567 [Conf]
  52. Sascha Ott, Yoshinori Tamada, Hideo Bannai, Kenta Nakai, Satoru Miyano
    Intrasplicing - Analysis of Long Intron Sequences. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:339-350 [Conf]
  53. Tatsuya Akutsu, Satoru Miyano
    On the approximation of protein threading. [Citation Graph (0, 0)][DBLP]
    RECOMB, 1997, pp:3-8 [Conf]
  54. Tatsuya Akutsu, Satoru Miyano, Satoru Kuhara
    Algorithms for identifying Boolean networks and related biological networks based on matrix multiplication and fingerprint function. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2000, pp:8-14 [Conf]
  55. Tatsuya Akutsu, Satoru Kuhara, Osamu Maruyama, Satoru Miyano
    Identification of Gene Regulatory Networks by Strategic Gene Disruptions and Gene Overexpressions. [Citation Graph (0, 0)][DBLP]
    SODA, 1998, pp:695-702 [Conf]
  56. Erika Tateishi, Osamu Maruyama, Satoru Miyano
    Extracting Best Consensus Motifs from Positive and Negative Examples. [Citation Graph (0, 0)][DBLP]
    STACS, 1996, pp:219-230 [Conf]
  57. Hideo Bannai, Heikki Hyyrö, Ayumi Shinohara, Masayuki Takeda, Kenta Nakai, Satoru Miyano
    Finding Optimal Pairs of Patterns. [Citation Graph (0, 0)][DBLP]
    WABI, 2004, pp:450-462 [Conf]
  58. Ryo Okada, Manabu Sugii, Hiroshi Matsuno, Satoru Miyano
    Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:4-14 [Conf]
  59. Satoru Miyano
    A Hierarchy Theorem for Multihead Stack-Counter Automata. [Citation Graph (0, 0)][DBLP]
    Acta Inf., 1982, v:17, n:, pp:63-67 [Journal]
  60. SunYong Kim, Seiya Imoto, Satoru Miyano
    Inferring gene networks from time series microarray data using dynamic Bayesian networks. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2003, v:4, n:3, pp:228- [Journal]
  61. Tatsuya Akutsu, Satoru Miyano, Satoru Kuhara
    Inferring qualitative relations in genetic networks and metabolic pathways. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2000, v:16, n:8, pp:727-734 [Journal]
  62. Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano
    Extensive feature detection of N-terminal protein sorting signals. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:2, pp:298-305 [Journal]
  63. Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano
    Statistical analysis of a small set of time-ordered gene expression data using linear splines. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:11, pp:1477-1485 [Journal]
  64. Sascha Ott, A. Hansen, SunYong Kim, Satoru Miyano
    Superiority of network motifs over optimal networks and an application to the revelation of gene network evolution. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:2, pp:227-238 [Journal]
  65. Kim Lan Sim, Tomoyuki Uchida, Satoru Miyano
    ProDDO: a database of disordered proteins from the Protein Data Bank (PDB). [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:4, pp:379-380 [Journal]
  66. Ryo Yoshida, Tomoyuki Higuchi, Seiya Imoto, Satoru Miyano
    ArrayCluster: an analytic tool for clustering, data visualization and module finder on gene expression profiles. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:12, pp:1538-1539 [Journal]
  67. Tatsuya Akutsu, Hideo Bannai, Satoru Miyano, Sascha Ott
    On the complexity of deriving position specific score matrices from positive and negative sequences. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 2007, v:155, n:6-7, pp:676-685 [Journal]
  68. Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano
    HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2001, v:5, n:B, pp:73-83 [Journal]
  69. Russ B. Altman, Alfonso Valencia, Satoru Miyano, Shoba Ranganathan
    Challenges for Intelligent Systems in Biology. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2001, v:16, n:6, pp:14-20 [Journal]
  70. Reiichiro Nakamichi, Seiya Imoto, Satoru Miyano
    Statistical Model Selection Method to Analyze Combinatorial Effects of Snps and Environmental Factors for Binary Disease. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2006, v:15, n:5, pp:711-724 [Journal]
  71. Satoru Miyano
    Remarks on Two-Way Automata with Weak-Counters. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1984, v:18, n:2, pp:105-107 [Journal]
  72. Satoru Miyano
    A Parallelizable Lexicographically First Maximal Edge-Induced Subgraph Problem. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1988, v:27, n:2, pp:75-78 [Journal]
  73. Hiroshi Matsuno, Yukiko Tanaka, Hitoshi Aoshima, Atsushi Doi, Mika Matsui, Satoru Miyano
    Biopathways representation and simulation on hybrid functional Petri net. [Citation Graph (0, 0)][DBLP]
    In Silico Biology, 2003, v:3, n:, pp:32- [Journal]
  74. Atsushi Doi, Sachie Fujita, Hiroshi Matsuno, Masao Nagasaki, Satoru Miyano
    Constructing biological pathway models with hybrid functional Petri net. [Citation Graph (0, 0)][DBLP]
    In Silico Biology, 2004, v:4, n:, pp:- [Journal]
  75. Osamu Maruyama, Hideo Bannai, Yoshinori Tamada, Satoru Kuhara, Satoru Miyano
    Fast algorithm for extracting multiple unordered short motifs using bit operations. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:146, n:1-4, pp:115-126 [Journal]
  76. Hideo Bannai, Shunsuke Inenaga, Ayumi Shinohara, Masayuki Takeda, Satoru Miyano
    Efficiently Finding Regulatory Elements Using Correlation with Gene Expression. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2004, v:2, n:2, pp:273-288 [Journal]
  77. Hiroshi Matsuno, Shin-Ichi T. Inouye, Yasuki Okitsu, Yasushi Fujii, Satoru Miyano
    A New Regulatory Interaction Suggested by Simulations for Circadian Genetic Control Mechanism in Mammals. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2006, v:4, n:1, pp:139-154 [Journal]
  78. Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
    Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2004, v:2, n:1, pp:77-98 [Journal]
  79. Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Aburatani, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
    Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2003, v:1, n:2, pp:231-252 [Journal]
  80. Seiya Imoto, Christopher J. Savoie, Sachiyo Aburatani, SunYong Kim, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
    Use of Gene Networks for Identifying and Validating Drug Targets. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2003, v:1, n:3, pp:459-474 [Journal]
  81. Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Toshiaki Katayama, Minoru Kanehisa, Satoru Miyano
    Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2005, v:3, n:6, pp:1295-1314 [Journal]
  82. Chen Li, Shunichi Suzuki, Qi-Wei Ge, Mitsuru Nakata, Hiroshi Matsuno, Satoru Miyano
    Structural Modeling and Analysis of Signaling Pathways Based on Petri Nets. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2006, v:4, n:5, pp:1119-1140 [Journal]
  83. Tatsuya Akutsu, Satoru Miyano, Satoru Kuhara
    Algorithms for Identifying Boolean Networks and Related Biological Networks Based on Matrix Multiplication and Fingerprint Function. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2000, v:7, n:3-4, pp:331-343 [Journal]
  84. Ying Xu, Satoru Miyano, Tom Head
    Foreword. [Citation Graph (0, 0)][DBLP]
    J. Comb. Optim., 1999, v:3, n:2-3, pp:147-148 [Journal]
  85. Satoru Miyano
    One-Way Weak-Stack-Counter Automata. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1980, v:20, n:1, pp:59-76 [Journal]
  86. Satoru Miyano
    Remarks on Multihead Pushdown Automata and Multihead Stack Automata. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1983, v:27, n:1, pp:116-124 [Journal]
  87. Satoru Miyano
    The Lexicographically First Maximum Subgraph Problems: P-Completeness and NC Algorithms. [Citation Graph (0, 0)][DBLP]
    Mathematical Systems Theory, 1989, v:22, n:1, pp:47-73 [Journal]
  88. Setsuo Arikawa, Satoru Miyano, Ayumi Shinohara, Satoru Kuhara, Yasuhito Mukouchi, Takeshi Shinohara
    A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1993, v:11, n:3, pp:361-375 [Journal]
  89. Satoru Miyano, Ayumi Shinohara, Takeshi Shinohara
    Polynomial-time Learning of Elementary Formal Systems. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 2000, v:18, n:3, pp:217-242 [Journal]
  90. Atsuko Yamaguchi, Koji Nakano, Satoru Miyano
    An Approximation Algorithm for the Minimum Common Supertree Problem. [Citation Graph (0, 0)][DBLP]
    Nord. J. Comput., 1997, v:4, n:2, pp:303-316 [Journal]
  91. Hideo Bannai, Heikki Hyyrö, Ayumi Shinohara, Masayuki Takeda, Kenta Nakai, Satoru Miyano
    An O(N2) Algorithm for Discovering Optimal Boolean Pattern Pairs. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2004, v:1, n:4, pp:159-170 [Journal]
  92. Tatsuya Akutsu, Satoru Kuhara, Osamu Maruyama, Satoru Miyano
    Identification of genetic networks by strategic gene disruptions and gene overexpressions under a boolean model. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2003, v:1, n:298, pp:235-251 [Journal]
  93. Tatsuya Akutsu, Satoru Miyano
    On the Approximation of Protein Threading. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1999, v:210, n:2, pp:261-275 [Journal]
  94. Tatsuya Akutsu, Satoru Miyano, Satoru Kuhara
    A simple greedy algorithm for finding functional relations: efficient implementation and average case analysis. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2003, v:292, n:2, pp:481-495 [Journal]
  95. Osamu Maruyama, Satoru Miyano
    Inferring a Tree from Walks. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1996, v:161, n:1&2, pp:289-300 [Journal]
  96. Satoru Miyano
    Two-Way Deterministic Multi-Weak-Counter Machines. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1982, v:21, n:, pp:27-37 [Journal]
  97. Satoru Miyano
    Delta_2^P-Complete Lexicographically First Maximal Subgraph Problems. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1991, v:88, n:1, pp:33-57 [Journal]
  98. Satoru Miyano
    Foreword: Genome Informatics. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1999, v:210, n:2, pp:225-226 [Journal]
  99. Satoru Miyano, Takeshi Hayashi
    Alternating Finite Automata on omega-Words. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1984, v:32, n:, pp:321-330 [Journal]
  100. Takayoshi Shoudai, Satoru Miyano
    Using Maximal Independent Sets to Solve Problems in Parallel. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1995, v:148, n:1, pp:57-65 [Journal]
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  104. Computational Genome-Wide Discovery of Aberrant Splice Variations with Exon Expression Profiles. [Citation Graph (, )][DBLP]


  105. A Structure Learning Algorithm for Inference of Gene Networks from Microarray Gene Expression Data Using Bayesian Networks. [Citation Graph (, )][DBLP]


  106. Identifying Hidden Confounders in Gene Networks by Bayesian Networks. [Citation Graph (, )][DBLP]


  107. Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality. [Citation Graph (, )][DBLP]


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  112. Gene Networks Viewed through Two Models. [Citation Graph (, )][DBLP]


  113. Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models. [Citation Graph (, )][DBLP]


  114. Fast grid layout algorithm for biological networks with sweep calculation. [Citation Graph (, )][DBLP]


  115. Bayesian learning of biological pathways on genomic data assimilation. [Citation Graph (, )][DBLP]


  116. Inferring dynamic gene networks under varying conditions for transcriptomic network comparison. [Citation Graph (, )][DBLP]


  117. DA 1.0: parameter estimation of biological pathways using data assimilation approach. [Citation Graph (, )][DBLP]


  118. AYUMS: an algorithm for completely automatic quantitation based on LC-MS/MS proteome data and its application to the analysis of signal transduction. [Citation Graph (, )][DBLP]


  119. An efficient grid layout algorithm for biological networks utilizing various biological attributes. [Citation Graph (, )][DBLP]


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  122. The impact of measurement errors in the identification of regulatory networks. [Citation Graph (, )][DBLP]


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