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Teppei Shimamura
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2020 – today
- 2023
- [j19]Ko Abe
, Teppei Shimamura:
UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data. Briefings Bioinform. 24(5) (2023) - 2021
- [j18]Kodai Minoura
, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura
:
CYBERTRACK2.0: zero-inflated model-based cell clustering and population tracking method for longitudinal mass cytometry data. Bioinform. 37(11): 1632-1634 (2021) - 2020
- [j17]Ko Abe, Kodai Minoura, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura
:
Model-based clustering for flow and mass cytometry data with clinical information. BMC Bioinform. 21-S(13): 393 (2020)
2010 – 2019
- 2019
- [j16]Hideko Kawakubo, Yusuke Matsui, Itaru Kushima
, Norio Ozaki
, Teppei Shimamura
:
A network of networks approach for modeling interconnected brain tissue-specific networks. Bioinform. 35(17): 3092-3101 (2019) - [j15]Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura
:
Model-based cell clustering and population tracking for time-series flow cytometry data. BMC Bioinform. 20-S(23): 633 (2019) - [j14]Ko Abe, Masaaki Hirayama
, Kinji Ohno, Teppei Shimamura
:
ENIGMA: an enterotype-like unigram mixture model for microbial association analysis. BMC Genom. 20(S2) (2019) - 2018
- [j13]Ko Abe, Masaaki Hirayama
, Kinji Ohno, Teppei Shimamura
:
A latent allocation model for the analysis of microbial composition and disease. BMC Bioinform. 19-S(19): 171-177 (2018) - [j12]Heewon Park, Teppei Shimamura
, Seiya Imoto, Satoru Miyano
:
Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks. J. Comput. Biol. 25(2): 130-145 (2018) - 2017
- [j11]Yusuke Matsui
, Atsushi Niida, Ryutaro Uchi, Koshi Mimori
, Satoru Miyano
, Teppei Shimamura
:
phyC: Clustering cancer evolutionary trees. PLoS Comput. Biol. 13(5) (2017) - [c6]Yusuke Matsui, Satoru Miyano, Teppei Shimamura:
Tumor Subclonal Progression Model for Cancer Hallmark Acquisition. CIBB 2017: 115-123 - [c5]Teppei Shimamura, Yusuke Matsui, Taisuke Kajino, Satoshi Ito, Takashi Takahashi, Satoru Miyano:
GIMLET: Identifying Biological Modulators in Context-Specific Gene Regulation Using Local Energy Statistics. CIBB 2017: 124-137 - 2016
- [j10]Yusuke Matsui, Masahiro Mizuta, Satoshi Ito, Satoru Miyano
, Teppei Shimamura
:
D3M: detection of differential distributions of methylation levels. Bioinform. 32(15): 2248-2255 (2016) - [j9]Takanori Hasegawa, Atsushi Niida, Tomoya Mori, Teppei Shimamura
, Rui Yamaguchi, Satoru Miyano, Tatsuya Akutsu
, Seiya Imoto
:
A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models. Comput. Stat. Data Anal. 94: 63-74 (2016) - 2015
- [j8]Takanori Hasegawa, Tomoya Mori, Rui Yamaguchi, Teppei Shimamura
, Satoru Miyano
, Seiya Imoto, Tatsuya Akutsu
:
Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks. BMC Syst. Biol. 9: 14 (2015) - [c4]Satoshi Ito
, Yuichi Shiraishi, Teppei Shimamura
, Kenichi Chiba, Satoru Miyano:
High performance computing of a fusion gene detection pipeline on the K computer. BIBM 2015: 1441-1447 - 2012
- [j7]Atsushi Niida, Seiya Imoto, Teppei Shimamura
, Satoru Miyano
:
Statistical model-based testing to evaluate the recurrence of genomic aberrations. Bioinform. 28(12): 115-120 (2012) - [j6]Shuichi Kawano
, Teppei Shimamura
, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki
, Ryo Yoshida, Cristin G. Print
, Satoru Miyano
:
Identifying Gene Pathways Associated with Cancer Characteristics via Sparse Statistical Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 966-972 (2012) - 2011
- [j5]Yasuhiro Sogawa, Shohei Shimizu
, Teppei Shimamura
, Aapo Hyvärinen
, Takashi Washio, Seiya Imoto:
Estimating exogenous variables in data with more variables than observations. Neural Networks 24(8): 875-880 (2011) - [j4]André Fujita, João Ricardo Sato
, Marcos Angelo Almeida Demasi, Rui Yamaguchi, Teppei Shimamura
, Carlos Eduardo Ferreira
, Mari Cleide Sogayar
, Satoru Miyano
:
Inferring Contagion in Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 570-576 (2011) - 2010
- [j3]Teppei Shimamura
, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki
, Satoru Miyano
:
Inferring dynamic gene networks under varying conditions for transcriptomic network comparison. Bioinform. 26(8): 1064-1072 (2010) - [j2]Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki
, André Fujita, Teppei Shimamura
, Satoru Miyano
:
Model-free unsupervised gene set screening based on information enrichment in expression profiles. Bioinform. 26(24): 3090-3097 (2010) - [c3]Shuichi Kawano
, Teppei Shimamura
, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki
, Ryo Yoshida, Cristin G. Print
, Satoru Miyano:
Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning. BIBM 2010: 253-258 - [c2]Teppei Shimamura, Seiya Imoto, Atsushi Niida, Masao Nagasaki, Rui Yamaguchi, Satoru Miyano:
Network profiling analysis for generating modulator-dependent gene networks. BIBM Workshops 2010: 836 - [c1]Yasuhiro Sogawa, Shohei Shimizu
, Aapo Hyvärinen
, Takashi Washio, Teppei Shimamura
, Seiya Imoto:
Discovery of Exogenous Variables in Data with More Variables Than Observations. ICANN (1) 2010: 67-76
2000 – 2009
- 2009
- [j1]Teppei Shimamura
, Seiya Imoto, Rui Yamaguchi, André Fujita, Masao Nagasaki
, Satoru Miyano
:
Recursive regularization for inferring gene networks from time-course gene expression profiles. BMC Syst. Biol. 3: 41 (2009)
Coauthor Index
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last updated on 2024-08-05 20:26 CEST by the dblp team
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