Yoshinori Tamada

According to our database, Yoshinori Tamada authored at least 26 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Individual health-disease phase diagrams for disease prevention based on machine learning.

Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno

J. Biomed. Informatics, August, 2023

2022

<i>CBNplot</i>: Bayesian network plots for enrichment analysis.

Noriaki Sato, Yoshinori Tamada, Guangchuang Yu, Yasushi Okuno

Bioinform., 2022

2020

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno

Int. J. Medical Informatics, 2020

2018

Memory efficient parallel algorithm for optimal DAG structure search using direct communication.

Yoshinori Tamada

J. Parallel Distributed Comput., 2018

2016

Efficient Parallel Algorithm for Optimal DAG Structure Search on Parallel Computer with Torus Network.

Hirokazu Honda, Yoshinori Tamada, Reiji Suda

Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2012

Computational gene network analysis reveals TNF-induced angiogenesis.

Kentaro Ogami, Rui Yamaguchi, Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Cristin G. Print, Satoru Miyano

BMC Syst. Biol., 2012

2011

Estimating Genome-Wide Gene Networks Using Nonparametric Bayesian Network Models on Massively Parallel Computers.

Yoshinori Tamada, Seiya Imoto, Hiromitsu Araki, Masao Nagasaki, Cristin G. Print, Stephen D. Charnock-Jones, Satoru Miyano

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Parallel Algorithm for Learning Optimal Bayesian Network Structure.

Yoshinori Tamada, Seiya Imoto, Satoru Miyano

J. Mach. Learn. Res., 2011

SiGN-SSM: open source parallel software for estimating gene networks with state space models.

Yoshinori Tamada, Rui Yamaguchi, Seiya Imoto, Osamu Hirose, Ryo Yoshida, Masao Nagasaki, Satoru Miyano

Bioinform., 2011

Computational Drug Target Pathway Discovery: A Bayesian Network Approach.

Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Satoru Miyano

Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010

Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach.

Seiya Imoto, Kaname Kojima, Eric Perrier, Yoshinori Tamada, Satoru Miyano

Proceedings of the New Frontiers in Artificial Intelligence, 2010

2009

Unraveling Dynamic Activities of Autocrine Pathways that Control Drug-Response Transcriptome Networks.

Yoshinori Tamada, Hiromitsu Araki, Seiya Imoto, Masao Nagasaki, Atsushi Doi, Yukiko Nakanishi, Yuki Tomiyasu, Kaori Yasuda, Ben Dunmore, Deborah Sanders, Sally Humphreys, Cristin G. Print, Stephen D. Charnock-Jones, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano

Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Gene Networks Viewed through Two Models.

Satoru Miyano, Rui Yamaguchi, Yoshinori Tamada, Masao Nagasaki, Seiya Imoto

Proceedings of the Bioinformatics and Computational Biology, 2009

2007

DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs.

Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi

Proceedings of the Mining and Learning with Graphs, 2007

2006

Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression Profiles.

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

Proceedings of the Biocomputing 2006, 2006

2005

Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models.

Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Toshiaki Katayama, Minoru Kanehisa, Satoru Miyano

J. Bioinform. Comput. Biol., 2005

Estimating Gene Networks from Expression Data and Binding Location Data via Boolean Networks.

Osamu Hirose, Naoki Nariai, Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Satoru Miyano

Proceedings of the Computational Science and Its Applications, 2005

Estimating gene regulatory networks and protein-protein interactions of <i>Saccharomyces cerevisiae</i> from multiple genome-wide data.

Naoki Nariai, Yoshinori Tamada, Seiya Imoto, Satoru Miyano

Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2003

Intrasplicing - Analysis of Long Intron Sequences.

Sascha Ott, Yoshinori Tamada, Hideo Bannai, Kenta Nakai, Satoru Miyano

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection.

Yoshinori Tamada, SunYong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano

Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

2002

Fast algorithm for extracting multiple unordered short motifs using bit operations.

Osamu Maruyama, Hideo Bannai, Yoshinori Tamada, Satoru Kuhara, Satoru Miyano

Inf. Sci., 2002

Extensive feature detection of N-terminal protein sorting signals.

Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano

Bioinform., 2002

Foundations of Designing Computational Knowledge Discovery Processes.

Yoshinori Tamada, Hideo Bannai, Osamu Maruyama, Satoru Miyano

Proceedings of the Progress in Discovery Science, 2002

2001

HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process.

Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano

Electron. Trans. Artif. Intell., 2001

Views: Fundamental Building Blocks in the Process of Knowledge Discovery.

Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

VML: A View Modeling Language for Computational Knowledge Discovery.

Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001