VML: A View Modeling Language for Computational Knowledge Discovery. - Hideo Bannai; Yoshinori Tamada; Osamu Maruyama; Satoru Miyano (Discovery Science, 2001)

Views: Fundamental Building Blocks in the Process of Knowledge Discovery. - Hideo Bannai; Yoshinori Tamada; Osamu Maruyama; Kenta Nakai; Satoru Miyano (FLAIRS, 2001)

HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process. - Hideo Bannai; Yoshinori Tamada; Osamu Maruyama; Satoru Miyano (Electron. Trans. Artif. Intell., 2001)

Foundations of Designing Computational Knowledge Discovery Processes. - Yoshinori Tamada; Hideo Bannai; Osamu Maruyama; Satoru Miyano (Progress in Discovery Science, 2002)

Extensive feature detection of N-terminal protein sorting signals. - Hideo Bannai; Yoshinori Tamada; Osamu Maruyama; Kenta Nakai; Satoru Miyano (Bioinform., 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)

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 (ECCB, 2003)

Intrasplicing - Analysis of Long Intron Sequences. - Sascha Ott; Yoshinori Tamada; Hideo Bannai; Kenta Nakai; Satoru Miyano (Pacific Symposium on Biocomputing, 2003)

Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data. - Naoki Nariai; Yoshinori Tamada; Seiya Imoto; Satoru Miyano (ECCB/JBI, 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 (ICCSA (3), 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)

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 (Pacific Symposium on Biocomputing, 2006)

DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. - Alexandre Termier; Yoshinori Tamada; Kazuyuki Numata; Seiya Imoto; Takashi Washio; Tomoyuki Higuchi (MLG, 2007)

Gene Networks Viewed through Two Models. - Satoru Miyano; Rui Yamaguchi; Yoshinori Tamada; Masao Nagasaki; Seiya Imoto (BICoB, 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; et al. (Pacific Symposium on Biocomputing, 2009)

Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach. - Seiya Imoto; Kaname Kojima; Eric Perrier; Yoshinori Tamada; Satoru Miyano (JSAI-isAI Workshops, 2010)

Computational Drug Target Pathway Discovery: A Bayesian Network Approach. - Seiya Imoto; Yoshinori Tamada; Hiromitsu Araki; Satoru Miyano (Handbook of Statistical Bioinformatics, 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)

Parallel Algorithm for Learning Optimal Bayesian Network Structure. - Yoshinori Tamada; Seiya Imoto; Satoru Miyano (J. Mach. Learn. Res., 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)

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)

Efficient Parallel Algorithm for Optimal DAG Structure Search on Parallel Computer with Torus Network. - Hirokazu Honda; Yoshinori Tamada; Reiji Suda (ICA3PP, 2016)

Memory efficient parallel algorithm for optimal DAG structure search using direct communication. - Yoshinori Tamada (J. Parallel Distributed Comput., 2018)

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)

CBNplot: Bayesian network plots for enrichment analysis. - Noriaki Sato; Yoshinori Tamada; Guangchuang Yu; Yasushi Okuno (Bioinform., 2022)

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, 2023)

Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku. - Taisei Tosaki; Eiichiro Uchino; Yohei Harada; Minoru Sakuragi; Yusuke Koyanagi; Seiji Okajima; Hirofumi Suzuki; Kentaro Kanamori; Masahiro Asaoka; Kouji Kurihara; Takuya Takagi; Koji Maruhashi; et al. (BIBM, 2024)

A Study of the Relationship Between Driving and Health Based on Large-Scale Data Analysis Using PLSA and t-SNE. - Mitsugu Mera; Nanae Michida; Masanori Honda; Kazuo Sakamoto; Yoshinori Tamada; Tatsuya Mikami; Shigeyuki Nakaji (IEEE Access, 2024)

Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction. - Taisei Tosaki; Eiichiro Uchino; Ryosuke Kojima; Yohei Mineharu; Mikio Arita; Nobuyuki Miyai; Yoshinori Tamada; Tatsuya Mikami; Koichi Murashita; Shigeyuki Nakaji; Yasushi Okuno (CoRR, 2024)