論文 - 玉田 嘉紀
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Cell cycle gene networks are associated with melanoma prognosis.
Wang L, Hurley DG, Watkins W, Araki H, Tamada Y, Muthukaruppan A, Ranjard L, Derkac E, Imoto S, Miyano S, Crampin EJ, Print CG
PloS one 7 ( 4 ) e34247 2012年04月
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Computational gene network analysis reveals TNF-induced angiogenesis.
Ogami K, Yamaguchi R, Imoto S, Tamada Y, Araki H, Print C, Miyano S
BMC systems biology 6 ( Suppl 2 ) S12 2012年
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Gene network inference and visualization tools for biologists: application to new human transcriptome datasets.
Hurley D, Araki H, Tamada Y, Dunmore B, Sanders D, Humphreys S, Affara M, Imoto S, Yasuda K, Tomiyasu Y, Tashiro K, Savoie C, Cho V, Smith S, Kuhara S, Miyano S, Charnock-Jones DS, Crampin EJ, Print CG
Nucleic acids research 40 ( 6 ) 2377 - 2398 2011年11月
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Estimating genome-wide gene networks using nonparametric Bayesian network models on massively parallel computers.
Tamada Y, Imoto S, Araki H, Nagasaki M, Print C, Charnock-Jones DS, Miyano S
IEEE/ACM transactions on computational biology and bioinformatics 8 ( 3 ) 683 - 697 2011年05月
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SiGN-SSM: open source parallel software for estimating gene networks with state space models.
Tamada Y, Yamaguchi R, Imoto S, Hirose O, Yoshida R, Nagasaki M, Miyano S
Bioinformatics (Oxford, England) 27 ( 8 ) 1172 - 3 2011年
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Searching optimal Bayesian network structure on constraint search space: Super-structure approach
Imoto, S., Kojima, K., Perrier, E., Tamada, Y., Miyano, S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6797 LNAI 2011年
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Parallel algorithm for learning optimal bayesian network structure
Tamada, Y., Imoto, S., Miyano, S.
Journal of Machine Learning Research 12 2011年
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Collocation-based sparse estimation for constructing dynamic gene networks.
Shimamura T, Imoto S, Nagasaki M, Yamauchi M, Yamaguchi R, Fujita A, Tamada Y, Gotoh N, Miyano S
Genome informatics. International Conference on Genome Informatics 24 164 - 78 2010年
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Analysis of PPARalpha-dependent and PPARalpha-independent transcript regulation following fenofibrate treatment of human endothelial cells.
Araki H, Tamada Y, Imoto S, Dunmore B, Sanders D, Humphrey S, Nagasaki M, Doi A, Nakanishi Y, Yasuda K, Tomiyasu Y, Tashiro K, Print C, Charnock-Jones DS, Kuhara S, Miyano S
Angiogenesis 12 ( 3 ) 221 - 229 2009年04月
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Gene networks viewed through two models
Miyano, S., Yamaguchi, R., Tamada, Y., Nagasaki, M., Imoto, S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5462 LNBI 2009年
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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 Print, D Stephen Charnock-Jones, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 251 - 63 2009年
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A novel strategy to search conserved transcription factor binding sites among coexpressing genes in human.
Hatanaka Y, Nagasaki M, Yamaguchi R, Obayashi T, Numata K, Fujita A, Shimamura T, Tamada Y, Imoto S, Kinoshita K, Nakai K, Miyano S
Genome informatics. International Conference on Genome Informatics 20 212 - 21 2008年
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Analysis of gene networks for drug target discovery and validation.
Imoto S, Tamada Y, Savoie CJ, Miyano S
Methods in molecular biology (Clifton, N.J.) 360 33 - 56 2007年
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Understanding endothelial cell apoptosis: what can the transcriptome, glycome and proteome reveal?
Affara M, Dunmore B, Savoie C, Imoto S, Tamada Y, Araki H, Charnock-Jones DS, Miyano S, Print C
Philosophical transactions of the Royal Society of London. Series B, Biological sciences 362 ( 1484 ) 1469 - 87 2007年
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グラフマイニングとその統計的モデリングへの応用
鷲尾 隆, 樋口 知之, 井元 清哉, 玉田 嘉紀, 佐藤 健, 元田 浩
統計数理 = Proceedings of the Institute of Statistical Mathematics 54 ( 2 ) 315 - 331 2006年12月
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Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data.
Nagasaki M, Yamaguchi R, Yoshida R, Imoto S, Doi A, Tamada Y, Matsuno H, Miyano S, Higuchi T
Genome informatics. International Conference on Genome Informatics 17 ( 1 ) 46 - 61 2006年
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From closed tree mining towards closed DAG mining
Alexandre Termier, Yoshinori Tamada, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi
Proc. International Workshop on Data Mining and Statstical Science 1 - 7 2006年
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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. Pacific Symposium on Biocomputing 559 - 71 2006年
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異種ゲノムデータの統合による遺伝子ネットワーク推定手法 (特集 予測と発見)
玉田 嘉紀, 井元 清哉, 宮野 悟
統計数理 54 ( 2 ) 333 - 356 2006年
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Identifying drug active pathways from gene networks estimated by gene expression data.
Tamada Y, Imoto S, Tashiro K, Kuhara S, Miyano S
Genome informatics. International Conference on Genome Informatics 16 ( 1 ) 182 - 91 2005年