Seiya Imoto

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 43

Top Venues

Publications

Zhikang Wang, Jiani Ma, Qian Gao, Chris Bain, Seiya Imoto, Pietro Liò, Hongmin Cai, Hao Chen, Jiangning Song
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis. Medical Image Anal. 97 (2024)
Zhikang Wang, Yumeng Zhang, Yingxue Xu, Seiya Imoto, Hao Chen, Jiangning Song
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images. CoRR (2024)
Yao-zhong Zhang, Yunjie Liu, Zeheng Bai, Kosuke Fujimoto, Satoshi Uematsu, Seiya Imoto
Zero-shot-capable identification of phage-host relationships with whole-genome sequence representation by contrastive learning. Briefings Bioinform. 24 (5) (2023)
Noriaki Sato, Miho Uematsu, Kosuke Fujimoto, Satoshi Uematsu, Seiya Imoto
: analysis and visualization of KEGG data utilizing the grammar of graphics. Bioinform. 39 (10) (2023)
Tong Pan, Chen Li, Yue Bi, Zhikang Wang, Robin B. Gasser, Anthony W. Purcell, Tatsuya Akutsu, Geoffrey I. Webb, Seiya Imoto, Jiangning Song
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships. Bioinform. 39 (3) (2023)
Yao-zhong Zhang, Zeheng Bai, Seiya Imoto
Investigation of the BERT model on nucleotide sequences with non-standard pre-training and evaluation of different k-mer embeddings. Bioinform. 39 (10) (2023)
Heewon Park, Seiya Imoto, Satoru Miyano
Gene Regulatory Network-Classifier: Gene Regulatory Network-Based Classifier and Its Applications to Gastric Cancer Drug (5-Fluorouracil) Marker Identification. J. Comput. Biol. 30 (2) (2023)
Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song
Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification. Bioinform. 39 (3) (2023)
Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Comput. Methods Programs Biomed. 241 (2023)
Misato Seki, Yao-Zhong Zhang, Seiya Imoto
Imputing time-series microbiome abundance profiles with diffusion model. BIBM (2023)
Jing Xu, Fuyi Li, Chen Li, Xudong Guo, Cornelia Landersdorfer, Hsin-Hui Shen, Anton Y. Peleg, Jian Li, Seiya Imoto, Jianhua Yao, Tatsuya Akutsu, Jiangning Song
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities. Briefings Bioinform. 24 (4) (2023)
Kohei Takeshita, Hiroyuki Takao, Seiya Imoto, Yuichi Murayama
Improvement of the Japanese healthcare data system for the effective management of patients with COVID-19: A national survey. Int. J. Medical Informatics 162 (2022)
Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Jiangning Song
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification. CoRR (2022)
Heewon Park, Rui Yamaguchi, Seiya Imoto, Satoru Miyano
Uncovering Molecular Mechanisms of Drug Resistance via Network-Constrained Common Structure Identification. J. Comput. Biol. 29 (3) (2022)
Heewon Park, Seiya Imoto, Satoru Miyano
PredictiveNetwork: predictive gene network estimation with application to gastric cancer drug response-predictive network analysis. BMC Bioinform. 23 (1) (2022)
Zeheng Bai, Yao-zhong Zhang, Satoru Miyano, Rui Yamaguchi, Kosuke Fujimoto, Satoshi Uematsu, Seiya Imoto
Identification of bacteriophage genome sequences with representation learning. Bioinform. 38 (18) (2022)
Yanan Wang, Nicolas Coudray, Yun Zhao, Fuyi Li, Changyuan Hu, Yao-Zhong Zhang, Seiya Imoto, Aristotelis Tsirigos, Geoffrey I. Webb, Roger J. Daly, Jiangning Song
HEAL: an automated deep learning framework for cancer histopathology image analysis. Bioinform. 37 (22) (2021)
Yao-Zhong Zhang, Kiyoshi Yamaguchi, Sera Hatakeyama, Yoichi Furukawa, Satoru Miyano, Rui Yamaguchi, Seiya Imoto
On the application of BERT models for nanopore methylation detection. BIBM (2021)
Hiroki Konishi, Rui Yamaguchi, Kiyoshi Yamaguchi, Yoichi Furukawa, Seiya Imoto
Halcyon: an accurate basecaller exploiting an encoder-decoder model with monotonic attention. Bioinform. 37 (9) (2021)
Yunjie Liu, Yaozhong Zhang, Seiya Imoto
Discovering microbe functionality in human disease with a gene-ontology-aware model. BIBM (2021)
Yao-Zhong Zhang, Seiya Imoto, Satoru Miyano, Rui Yamaguchi
Enhancing breakpoint resolution with deep segmentation model: A general refinement method for read-depth based structural variant callers. PLoS Comput. Biol. 17 (10) (2021)
Takanori Hasegawa, Rui Yamaguchi, Atsushi Niida, Satoru Miyano, Seiya Imoto
Ensemble smoothers for inference of hidden states and parameters in combinatorial regulatory model. J. Frankl. Inst. 357 (5) (2020)
Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi
Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection. ISMCO (2020)
Yao-zhong Zhang, Arda Akdemir, Georg Tremmel, Seiya Imoto, Satoru Miyano, Tetsuo Shibuya, Rui Yamaguchi
Nanopore basecalling from a perspective of instance segmentation. BMC Bioinform. (3) (2020)
Takanori Hasegawa, Shuto Hayashi, Eigo Shimizu, Shinichi Mizuno, Atsushi Niida, Rui Yamaguchi, Satoru Miyano, Hidewaki Nakagawa, Seiya Imoto
Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens. Bioinform. 36 (18) (2020)
Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano
Robust Sample-Specific Stability Selection with Effective Error Control. J. Comput. Biol. 26 (3) (2019)
Takuya Moriyama, Seiya Imoto, Shuto Hayashi, Yuichi Shiraishi, Satoru Miyano, Rui Yamaguchi
A Bayesian model integration for mutation calling through data partitioning. Bioinform. 35 (21) (2019)
Shuto Hayashi, Takuya Moriyama, Rui Yamaguchi, Shinichi Mizuno, Mitsuhiro Komura, Satoru Miyano, Hidewaki Nakagawa, Seiya Imoto
ALPHLARD-NT: Bayesian Method for Human Leukocyte Antigen Genotyping and Mutation Calling through Simultaneous Analysis of Normal and Tumor Whole-Genome Sequence Data. J. Comput. Biol. 26 (9) (2019)
Hiroki Konishi, Daisuke Komura, Hiroto Katoh, Shinichiro Atsumi, Hirotomo Koda, Asami Yamamoto, Yasuyuki Seto, Masashi Fukayama, Rui Yamaguchi, Seiya Imoto, Shumpei Ishikawa
Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning. BMC Bioinform. 20 (1) (2019)
Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi
Accurate and Flexible Bayesian Mutation Call from Multi-regional Tumor Samples. ISMCO (2019)
Heewon Park, Teppei Shimamura, Seiya Imoto, Satoru Miyano
Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks. J. Comput. Biol. 25 (2) (2018)
Heewon Park, Atsushi Niida, Seiya Imoto, Satoru Miyano
Interaction-Based Feature Selection for Uncovering Cancer Driver Genes Through Copy Number-Driven Expression Level. J. Comput. Biol. 24 (2) (2017)
Yao-Zhong Zhang, Seiya Imoto, Satoru Miyano, Rui Yamaguchi
Reconstruction of high read-depth signals from low-depth whole genome sequencing data using deep learning. BIBM (2017)
Heewon Park, Yuichi Shiraishi, Seiya Imoto, Satoru Miyano
A Novel Adaptive Penalized Logistic Regression for Uncovering Biomarker Associated with Anti-Cancer Drug Sensitivity. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (4) (2017)
Takuya Moriyama, Yuichi Shiraishi, Kenichi Chiba, Rui Yamaguchi, Seiya Imoto, Satoru Miyano
OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads. ISBRA (2016)
Emi Ayada, Takanori Hasegawa, Atsushi Niida, Satoru Miyano, Seiya Imoto
Binary contingency table method for analysing gene mutation in cancer genome. Int. J. Bioinform. Res. Appl. 12 (3) (2016)
Harsh Saini, Gaurav Raicar, Sunil Pranit Lal, Abdollah Dehzangi, Seiya Imoto, Alok Sharma
Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram. J. Softw. 11 (8) (2016)
Tetsuhiro Yoshino, Kotoe Katayama, Yuko Horiba, Kaori Munakata, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Hideki Mima, Kenji Watanabe
Predicting Japanese Kampo formulas by analyzing database of medical records: a preliminary observational study. BMC Medical Informatics Decis. Mak. 16 (2016)
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 (2016)
Emi Ayada, Atsushi Niida, Takanori Hasegawa, Satoru Miyano, Seiya Imoto
Binary Contingency Table Method for Analyzing Gene Mutation in Cancer Genome. ISBRA (2015)
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 (2015)
Kenichi Chiba, Yuichi Shiraishi, Yasunobu Nagata, Kenichi Yoshida, Seiya Imoto, Seishi Ogawa, Satoru Miyano
Genomon ITDetector: a tool for somatic internal tandem duplication detection from cancer genome sequencing data. Bioinform. 31 (1) (2015)
Heewon Park, Atsushi Niida, Satoru Miyano, Seiya Imoto
Sparse Overlapping Group Lasso for Integrative Multi-Omics Analysis. J. Comput. Biol. 22 (2) (2015)
Takanori Hasegawa, Masao Nagasaki, Rui Yamaguchi, Seiya Imoto, Satoru Miyano
An efficient method of exploring simulation models by assimilating literature and biological observational data. Biosyst. 121 (2014)
Takanori Hasegawa, Tomoya Mori, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Tatsuya Akutsu
An Efficient Data Assimilation Schema for Restoration and Extension of Gene Regulatory Networks Using Time-Course Observation Data. J. Comput. Biol. 21 (11) (2014)
Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano, Vandana Sharma, Rajeshkannan Ananthanarayanan
A feature selection method using fixed-point algorithm for DNA microarray gene expression data. Int. J. Knowl. Based Intell. Eng. Syst. 18 (1) (2014)
Naoto Usuyama, Yuichi Shiraishi, Yusuke Sato, Haruki Kume, Yukio Homma, Seishi Ogawa, Satoru Miyano, Seiya Imoto
HapMuC: somatic mutation calling using heterozygous germ line variants near candidate mutations. Bioinform. 30 (23) (2014)
Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano
A feature selection method using improved regularized linear discriminant analysis. Mach. Vis. Appl. 25 (3) (2014)
Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi
Parameter estimation in multi-compartment SIR model. FUSION (2014)
Alok Sharma, Kuldip K. Paliwal, Abdollah Dehzangi, James G. Lyons, Seiya Imoto, Satoru Miyano
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinform. 14 (2013)
Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi
Estimation of abrupt changes in sentinel observation data of influenza epidemics in Japan. FUSION (2013)
Mitsunori Kayano, Seiya Imoto, Rui Yamaguchi, Satoru Miyano
Multi-omics Approach for Estimating Metabolic Networks Using Low-Order Partial Correlations. J. Comput. Biol. 20 (8) (2013)
Atsushi Niida, Georg Tremmel, Seiya Imoto, Satoru Miyano
Multilayer Cluster Heat Map Visualizing Biological Tensor Data. BSB (2013)
Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano
Principal component analysis using QR decomposition. Int. J. Mach. Learn. Cybern. 4 (6) (2013)
Alok Sharma, Seiya Imoto, Satoru Miyano
A Top-r Feature Selection Algorithm for Microarray Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (3) (2012)
Alok Sharma, Seiya Imoto, Satoru Miyano, Vandana Sharma
Null space based feature selection method for gene expression data. Int. J. Mach. Learn. Cybern. 3 (4) (2012)
Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe
Connection between traditional medicine and disease. SIGHIT Rec. 2 (1) (2012)
Kaname Kojima, Seiya Imoto, Rui Yamaguchi, André Fujita, Mai Yamauchi, Noriko Gotoh, Satoru Miyano
Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genom. 13 (S-1) (2012)
Atsushi Niida, Seiya Imoto, Teppei Shimamura, Satoru Miyano
Statistical model-based testing to evaluate the recurrence of genomic aberrations. Bioinform. 28 (12) (2012)
Alok Sharma, Seiya Imoto, Satoru Miyano
A between-Class Overlapping Filter-Based Method for transcriptome Data Analysis. J. Bioinform. Comput. Biol. 10 (5) (2012)
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) (2012)
Kentaro Ogami, Rui Yamaguchi, Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Cristin G. Print, Satoru Miyano
Computational gene network analysis reveals TNF-induced angiogenesis. BMC Syst. Biol. 6 (S-2) (2012)
Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi
Identifiability of local transmissibility parameters in agent-based pandemic simulation. FUSION (2012)
Kotoe Katayama, Seiya Imoto, Kenji Watanabe, Rui Yamaguchi, Keiko Matsuura, Satoru Miyano
Analysis of questionnaire for traditional medical and develop decision support system. BIBM Workshops (2012)
Yoshinori Tamada, Seiya Imoto, Satoru Miyano
Parallel Algorithm for Learning Optimal Bayesian Network Structure. J. Mach. Learn. Res. 12 (2011)
Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe, Satoru Miyano
Clustering for Visual Analogue Scale Data in Symbolic Data Analysis. Complex Adaptive Systems (2011)
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) (2011)
Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe, Satoru Miyano
Transform of visual analogue scale data and their clustering. Int. J. Knowl. Eng. Soft Data Paradigms 3 (2) (2011)
Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi
Estimation of macroscopic parameter in agent-based pandemic simulation. FUSION (2011)
Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi
Parallel Agent-Based Simulator for Influenza Pandemic. AAMAS Workshops (2011)
Yoshinori Tamada, Seiya Imoto, Hiromitsu Araki, Masao Nagasaki, Cristin G. Print, Stephen D. Charnock-Jones, Satoru Miyano
Estimating Genome-Wide Gene Networks Using Nonparametric Bayesian Network Models on Massively Parallel Computers. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (3) (2011)
Yoshinori Tamada, Rui Yamaguchi, Seiya Imoto, Osamu Hirose, Ryo Yoshida, Masao Nagasaki, Satoru Miyano
SiGN-SSM: open source parallel software for estimating gene networks with state space models. Bioinform. 27 (8) (2011)
Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano
Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation. ISBRA (2011)
Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano
Poster: Comprehensive pharmacogenomic pathway screening by data assimilation. ICCABS (2011)
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)
Teppei Shimamura, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Satoru Miyano
Inferring dynamic gene networks under varying conditions for transcriptomic network comparison. Bioinform. 26 (8) (2010)
Tomoya Higashigaki, Kaname Kojima, Rui Yamaguchi, Masato Inoue, Seiya Imoto, Satoru Miyano
Identifying Hidden Confounders in Gene Networks by Bayesian Networks. BIBE (2010)
Teppei Shimamura, Seiya Imoto, Atsushi Niida, Masao Nagasaki, Rui Yamaguchi, Satoru Miyano
Network profiling analysis for generating modulator-dependent gene networks. BIBM Workshops (2010)
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru Miyano
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure. J. Mach. Learn. Res. 11 (2010)
Seiya Imoto, Kaname Kojima, Eric Perrier, Yoshinori Tamada, Satoru Miyano
Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach. JSAI-isAI Workshops (2010)
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)
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) (2010)
Yoshinori Tamada, Hiromitsu Araki, Seiya Imoto, Masao Nagasaki, Atsushi Doi, Yukiko Nakanishi, Yuki Tomiyasu, Kaori Yasuda, Ben Dunmore, Deborah Sanders, Sally Humphreys, Cristin G. Print, Stephen D. Charnock-Jones, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
Unraveling Dynamic Activities of Autocrine Pathways that Control Drug-Response Transcriptome Networks. Pacific Symposium on Biocomputing (2009)
Rui Yamaguchi, Seiya Imoto, Satoru Miyano
Network-Based Predictions and Simulations by Biological State Space Models: Search for Drug Mode of Action. J. Comput. Sci. Technol. 25 (1) (2009)
Satoru Miyano, Rui Yamaguchi, Yoshinori Tamada, Masao Nagasaki, Seiya Imoto
Gene Networks Viewed through Two Models. BICoB (2009)
Atsushi Niida, Andrew D. Smith, Seiya Imoto, Hiroyuki Aburatani, Michael Q. Zhang, Tetsu Akiyama
Gene set-based module discovery in the breast cancer transcriptome. BMC Bioinform. 10 (2009)
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 (2009)
Ryo Yoshida, Masao Nagasaki, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Tomoyuki Higuchi
Bayesian learning of biological pathways on genomic data assimilation. Bioinform. 24 (22) (2008)
Osamu Hirose, Ryo Yoshida, Rui Yamaguchi, Seiya Imoto, Tomoyuki Higuchi, Satoru Miyano
Analyzing Time Course Gene Expression Data with Biological and Technical Replicates to Estimate Gene Networks by State Space Models. Asia International Conference on Modelling and Simulation (2008)
Osamu Hirose, Ryo Yoshida, Seiya Imoto, Rui Yamaguchi, Tomoyuki Higuchi, Stephen D. Charnock-Jones, Cristin G. Print, Satoru Miyano
Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models. Bioinform. 24 (7) (2008)
Kazuyuki Numata, Seiya Imoto, Satoru Miyano
Partial Order-Based Bayesian Network Learning Algorithm for Estimating Gene Networks. BIBM (2008)
Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuichi Tsutsumi, Hiroyuki Aburatani, Michael Q. Zhang, Tetsu Akiyama
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells. BMC Bioinform. 9 (2008)
Kazuyuki Numata, Ryo Yoshida, Masao Nagasaki, Ayumu Saito, Seiya Imoto, Satoru Miyano
ExonMiner: Web service for analysis of GeneChip Exon array data. BMC Bioinform. 9 (2008)
Pramod K. Gupta, Ryo Yoshida, Seiya Imoto, Rui Yamaguchi, Satoru Miyano
Statistical Absolute Evaluation of Gene Ontology Terms with Gene Expression Data. ISBRA (2007)
Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. MLG (2007)
Ryo Yoshida, Kazuyuki Numata, Seiya Imoto, Masao Nagasaki, Atsushi Doi, Kazuko Ueno, Satoru Miyano
Computational Genome-Wide Discovery of Aberrant Splice Variations with Exon Expression Profiles. BIBE (2007)
Kazuyuki Numata, Seiya Imoto, Satoru Miyano
A Structure Learning Algorithm for Inference of Gene Networks from Microarray Gene Expression Data Using Bayesian Networks. BIBE (2007)
Rui Yamaguchi, Ryo Yoshida, Seiya Imoto, Tomoyuki Higuchi, Satoru Miyano
Finding module-based gene networks with state-space models - Mining high-dimensional and short time-course gene expression data. IEEE Signal Process. Mag. 24 (1) (2007)
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
Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression Profiles. Pacific Symposium on Biocomputing (2006)
Reiichiro Nakamichi, Seiya Imoto, Satoru Miyano
Statistical Model Selection Method to Analyze Combinatorial Effects of Snps and Environmental Factors for Binary Disease. Int. J. Artif. Intell. Tools 15 (5) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Seiya Imoto