Teppei Shimamura

According to our database, Teppei Shimamura authored at least 25 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data.

Ko Abe, Teppei Shimamura

Briefings Bioinform., September, 2023

2021

CYBERTRACK2.0: zero-inflated model-based cell clustering and population tracking method for longitudinal mass cytometry data.

Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura

Bioinform., 2021

2020

Model-based clustering for flow and mass cytometry data with clinical information.

Ko Abe, Kodai Minoura, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura

BMC Bioinform., 2020

2019

ENIGMA: an enterotype-like unigram mixture model for microbial association analysis.

Ko Abe, Masaaki Hirayama, Kinji Ohno, Teppei Shimamura

BMC Genom., 2019

Model-based cell clustering and population tracking for time-series flow cytometry data.

Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura

BMC Bioinform., 2019

A network of networks approach for modeling interconnected brain tissue-specific networks.

Hideko Kawakubo, Yusuke Matsui, Itaru Kushima, Norio Ozaki, Teppei Shimamura

Bioinform., 2019

2018

Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks.

Heewon Park, Teppei Shimamura, Seiya Imoto, Satoru Miyano

J. Comput. Biol., 2018

A latent allocation model for the analysis of microbial composition and disease.

Ko Abe, Masaaki Hirayama, Kinji Ohno, Teppei Shimamura

BMC Bioinform., 2018

2017

phyC: Clustering cancer evolutionary trees.

Yusuke Matsui, Atsushi Niida, Ryutaro Uchi, Koshi Mimori, Satoru Miyano, Teppei Shimamura

PLoS Comput. Biol., 2017

GIMLET: Identifying Biological Modulators in Context-Specific Gene Regulation Using Local Energy Statistics.

Teppei Shimamura, Yusuke Matsui, Taisuke Kajino, Satoshi Ito, Takashi Takahashi, Satoru Miyano

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

Tumor Subclonal Progression Model for Cancer Hallmark Acquisition.

Yusuke Matsui, Satoru Miyano, Teppei Shimamura

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

2016

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

Takanori Hasegawa, Atsushi Niida, Tomoya Mori, Teppei Shimamura, Rui Yamaguchi, Satoru Miyano, Tatsuya Akutsu, Seiya Imoto

Comput. Stat. Data Anal., 2016

D³M: detection of differential distributions of methylation levels.

Yusuke Matsui, Masahiro Mizuta, Satoshi Ito, Satoru Miyano, Teppei Shimamura

Bioinform., 2016

2015

Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks.

Takanori Hasegawa, Tomoya Mori, Rui Yamaguchi, Teppei Shimamura, Satoru Miyano, Seiya Imoto, Tatsuya Akutsu

BMC Syst. Biol., 2015

High performance computing of a fusion gene detection pipeline on the K computer.

Satoshi Ito, Yuichi Shiraishi, Teppei Shimamura, Kenichi Chiba, Satoru Miyano

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2012

Identifying Gene Pathways Associated with Cancer Characteristics via Sparse Statistical Methods.

Shuichi Kawano, Teppei Shimamura, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Ryo Yoshida, Cristin G. Print, Satoru Miyano

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Statistical model-based testing to evaluate the recurrence of genomic aberrations.

Atsushi Niida, Seiya Imoto, Teppei Shimamura, Satoru Miyano

Bioinform., 2012

2011

Inferring Contagion in Regulatory Networks.

André Fujita, João Ricardo Sato, Marcos Angelo Almeida Demasi, Rui Yamaguchi, Teppei Shimamura, Carlos Eduardo Ferreira, Mari Cleide Sogayar, Satoru Miyano

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Estimating exogenous variables in data with more variables than observations.

Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto

Neural Networks, 2011

2010

Inferring dynamic gene networks under varying conditions for transcriptomic network comparison.

Teppei Shimamura, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Satoru Miyano

Bioinform., 2010

Model-free unsupervised gene set screening based on information enrichment in expression profiles.

Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, André Fujita, Teppei Shimamura, Satoru Miyano

Bioinform., 2010

Discovery of Exogenous Variables in Data with More Variables Than Observations.

Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Network profiling analysis for generating modulator-dependent gene networks.

Teppei Shimamura, Seiya Imoto, Atsushi Niida, Masao Nagasaki, Rui Yamaguchi, Satoru Miyano

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning.

Shuichi Kawano, Teppei Shimamura, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Ryo Yoshida, Cristin G. Print, Satoru Miyano

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Recursive regularization for inferring gene networks from time-course gene expression profiles.

Teppei Shimamura, Seiya Imoto, Rui Yamaguchi, André Fujita, Masao Nagasaki, Satoru Miyano

BMC Syst. Biol., 2009