Yoshinori Tamada - researchr alias

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Viewing Publication 1 - 27 from 27

2023

Individual health-disease phase diagrams for disease prevention based on machine learningKazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno. jbi, 144:104448, August 2023. [doi]

2022

CBNplot: Bayesian network plots for enrichment analysisNoriaki Sato, Yoshinori Tamada, Guangchuang Yu, Yasushi Okuno. bioinformatics, 38(10):2959-2960, 2022. [doi]

2020

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approachEiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno. ijmi, 141:104231, 2020. [doi]

2018

Memory efficient parallel algorithm for optimal DAG structure search using direct communicationYoshinori Tamada. jpdc, 119:27-35, 2018. [doi]

2016

Efficient Parallel Algorithm for Optimal DAG Structure Search on Parallel Computer with Torus NetworkHirokazu Honda, Yoshinori Tamada, Reiji Suda. ica3pp 2016: 483-502 [doi]

2012

Computational gene network analysis reveals TNF-induced angiogenesisKentaro Ogami, Rui Yamaguchi, Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Cristin G. Print, Satoru Miyano. bmcsb, 6(S-2), 2012. [doi]

2011

Computational Drug Target Pathway Discovery: A Bayesian Network ApproachSeiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Satoru Miyano. In Henry Horng-Shing Lu, Bernhard Schölkopf, Hongyu Zhao, editors, Handbook of Statistical Bioinformatics. Springer Handbooks of Computational Statistics, pages 501-532, Springer, 2011. [doi]

SiGN-SSM: open source parallel software for estimating gene networks with state space modelsYoshinori Tamada, Rui Yamaguchi, Seiya Imoto, Osamu Hirose, Ryo Yoshida, Masao Nagasaki, Satoru Miyano. bioinformatics, 27(8):1172-1173, 2011. [doi]

Estimating Genome-Wide Gene Networks Using Nonparametric Bayesian Network Models on Massively Parallel ComputersYoshinori Tamada, Seiya Imoto, Hiromitsu Araki, Masao Nagasaki, Cristin G. Print, Stephen D. Charnock-Jones, Satoru Miyano. tcbb, 8(3):683-697, 2011. [doi]

Parallel Algorithm for Learning Optimal Bayesian Network StructureYoshinori Tamada, Seiya Imoto, Satoru Miyano. jmlr, 12:2437-2459, 2011. [doi]

2010

Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure ApproachSeiya Imoto, Kaname Kojima, Eric Perrier, Yoshinori Tamada, Satoru Miyano. jsai 2011: 210-218 [doi]

2009

2007

DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGsAlexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi. mlg 2007: [doi]

2006

Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression ProfilesSeiya 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. psb 2006: 559-571 [doi]

2005

2003

Intrasplicing - Analysis of Long Intron SequencesSascha Ott, Yoshinori Tamada, Hideo Bannai, Kenta Nakai, Satoru Miyano. psb 2003: 339-350 [doi]

Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detectionYoshinori Tamada, SunYong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano. eccb 2003: 227-236

2002

2001

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