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A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models.

T. Hasegawa, A. Niida, T. Mori, T. Shimamura, R. Yamaguchi, S. Miyano, T. Akutsu, and S. Imoto. Comput. Stat. Data Anal., (2016)

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Aki Shimamura

Other publications of authors with the same name

Statistical model-based testing to evaluate the recurrence of genomic aberrations.A. Niida, S. Imoto, T. Shimamura, and S. Miyano. Bioinform., 28 (12): 115-120 (2012)ENIGMA: an enterotype-like unigram mixture model for microbial association analysis.K. Abe, M. Hirayama, K. Ohno, and T. Shimamura. BMC Genom., (2019)phyC: Clustering cancer evolutionary trees.Y. Matsui, A. Niida, R. Uchi, K. Mimori, S. Miyano, and T. Shimamura. PLoS Comput. Biol., (2017)Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning.S. Kawano, T. Shimamura, A. Niida, S. Imoto, R. Yamaguchi, M. Nagasaki, R. Yoshida, C. Print, and S. Miyano. BIBM, page 253-258. IEEE Computer Society, (2010)High performance computing of a fusion gene detection pipeline on the K computer.S. Ito, Y. Shiraishi, T. Shimamura, K. Chiba, and S. Miyano. BIBM, page 1441-1447. IEEE Computer Society, (2015)Discovery of Exogenous Variables in Data with More Variables Than Observations.Y. Sogawa, S. Shimizu, A. Hyvärinen, T. Washio, T. Shimamura, and S. Imoto. ICANN (1), volume 6352 of Lecture Notes in Computer Science, page 67-76. Springer, (2010)A network of networks approach for modeling interconnected brain tissue-specific networks.H. Kawakubo, Y. Matsui, I. Kushima, N. Ozaki, and T. Shimamura. Bioinform., 35 (17): 3092-3101 (2019)Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks.T. Hasegawa, T. Mori, R. Yamaguchi, T. Shimamura, S. Miyano, S. Imoto, and T. Akutsu. BMC Syst. Biol., (2015)Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks.H. Park, T. Shimamura, S. Imoto, and S. Miyano. J. Comput. Biol., 25 (2): 130-145 (2018)Estimating exogenous variables in data with more variables than observations.Y. Sogawa, S. Shimizu, T. Shimamura, A. Hyvärinen, T. Washio, and S. Imoto. Neural Networks, 24 (8): 875-880 (2011)

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Disambiguation of "Shimamura, Teppei"

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A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models.

Please choose a person to relate this publication to

Aki Shimamura

Other publications of authors with the same name

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Disambiguation of "Shimamura, Teppei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models.

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Aki Shimamura

Other publications of authors with the same name

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A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models.