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ORCIDSeiya Imoto
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Publications
- 2023
[j65]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): 223-243 (2023)- 2022
- [j64]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): 4264-4270 (2022) - [j63]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): 342 (2022) - [j61]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): 257-275 (2022) - 2021
- [j58]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) - [c50]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: 320-327 - 2020
- [j57]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): 4813-4816 (2020) - [j56]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. 21-S(3): 136 (2020) - [j55]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): 2916-2933 (2020) - [c48]Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi:
Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection. ISMCO 2020: 87-101 - 2019
- [j54]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): 4247-4254 (2019) - [j52]Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano:
Robust Sample-Specific Stability Selection with Effective Error Control. J. Comput. Biol. 26(3): 202-217 (2019) - [j51]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): 923-937 (2019) - [c47]Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi:
Accurate and Flexible Bayesian Mutation Call from Multi-regional Tumor Samples. ISMCO 2019: 47-61 - 2018
- [j50]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
- [j49]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): 138-152 (2017) - [j48]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): 771-782 (2017) - [c46]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: 1227-1232 - 2016
- [j47]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) - [j46]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): 211-226 (2016) - [j44]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: 118 (2016) - [c45]Takuya Moriyama, Yuichi Shiraishi, Kenichi Chiba, Rui Yamaguchi, Seiya Imoto, Satoru Miyano:
OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads. ISBRA 2016: 40-51 - 2015
- [j43]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): 116-118 (2015) - [j42]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) - [j41]Heewon Park, Atsushi Niida, Satoru Miyano, Seiya Imoto:
Sparse Overlapping Group Lasso for Integrative Multi-Omics Analysis. J. Comput. Biol. 22(2): 73-84 (2015) - [c44]Emi Ayada, Atsushi Niida, Takanori Hasegawa, Satoru Miyano, Seiya Imoto:
Binary Contingency Table Method for Analyzing Gene Mutation in Cancer Genome. ISBRA 2015: 12-23 - 2014
- [j40]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): 3302-3309 (2014) - [j39]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: 54-66 (2014) - [j38]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): 785-798 (2014) - [j37]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): 55-59 (2014) - [j36]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano:
A feature selection method using improved regularized linear discriminant analysis. Mach. Vis. Appl. 25(3): 775-786 (2014) - [c43]Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi:
Parameter estimation in multi-compartment SIR model. FUSION 2014: 1-5 - 2013
- [j35]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: 233 (2013) - [j34]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): 571-582 (2013) - [j33]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano:
Principal component analysis using QR decomposition. Int. J. Mach. Learn. Cybern. 4(6): 679-683 (2013) - [c42]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: 1385-1390 - [c41]Atsushi Niida, Georg Tremmel, Seiya Imoto, Satoru Miyano:
Multilayer Cluster Heat Map Visualizing Biological Tensor Data. BSB 2013: 116-125 - 2012
- [j32]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) - [j31]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): S6 (2012) - [j30]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): S12 (2012) - [j29]Alok Sharma, Seiya Imoto, Satoru Miyano:
A between-Class Overlapping Filter-Based Method for transcriptome Data Analysis. J. Bioinform. Comput. Biol. 10(5) (2012) - [j28]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): 269-276 (2012) - [j26]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): 754-764 (2012) - [j25]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) - [c40]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: 762-763 - [c39]Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi:
Identifiability of local transmissibility parameters in agent-based pandemic simulation. FUSION 2012: 2466-2471 - 2011
- [j24]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): 1172-1173 (2011) - [j23]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): 143-151 (2011) - [j22]Yoshinori Tamada, Seiya Imoto, Satoru Miyano:
Parallel Algorithm for Learning Optimal Bayesian Network Structure. J. Mach. Learn. Res. 12: 2437-2459 (2011) - [j20]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): 683-697 (2011) - [c38]Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi:
Parallel Agent-Based Simulator for Influenza Pandemic. AAMAS Workshops 2011: 361-370 - [c37]Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi:
Estimation of macroscopic parameter in agent-based pandemic simulation. FUSION 2011: 1-6 - [c36]Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano:
Poster: Comprehensive pharmacogenomic pathway screening by data assimilation. ICCABS 2011: 246 - [c35]Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano:
Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation. ISBRA 2011: 160-171 - [c34]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: 370-374 - [p1]Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Satoru Miyano:
Computational Drug Target Pathway Discovery: A Bayesian Network Approach. Handbook of Statistical Bioinformatics 2011: 501-532 - 2010
- [j19]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) - [j18]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) - [j17]Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru Miyano:
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure. J. Mach. Learn. Res. 11: 285-310 (2010) - [c33]Tomoya Higashigaki, Kaname Kojima, Rui Yamaguchi, Masato Inoue, Seiya Imoto, Satoru Miyano:
Identifying Hidden Confounders in Gene Networks by Bayesian Networks. BIBE 2010: 168-173 - [c32]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 - [c31]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 - [c29]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: 210-218 - 2009
- [j15]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) - [j14]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): 131-153 (2009) - [c28]Satoru Miyano, Rui Yamaguchi, Yoshinori Tamada, Masao Nagasaki, Seiya Imoto:
Gene Networks Viewed through Two Models. BICoB 2009: 54-66 - [c27]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: 251-263 - 2008
- [j13]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): 932-942 (2008) - [j12]Ryo Yoshida, Masao Nagasaki, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Tomoyuki Higuchi:
Bayesian learning of biological pathways on genomic data assimilation. Bioinform. 24(22): 2592-2601 (2008) - [j10]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) - [c26]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: 940-946 - [c25]Kazuyuki Numata, Seiya Imoto, Satoru Miyano:
Partial Order-Based Bayesian Network Learning Algorithm for Estimating Gene Networks. BIBM 2008: 357-360 - 2007
- [j9]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): 37-46 (2007) - [c24]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: 715-722 - [c23]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: 1280-1284 - [c22]Pramod K. Gupta, Ryo Yoshida, Seiya Imoto, Rui Yamaguchi, Satoru Miyano:
Statistical Absolute Evaluation of Gene Ontology Terms with Gene Expression Data. ISBRA 2007: 146-157 - 2006
- [j8]Ryo Yoshida, Tomoyuki Higuchi, Seiya Imoto, Satoru Miyano:
ArrayCluster: an analytic tool for clustering, data visualization and module finder on gene expression profiles. Bioinform. 22(12): 1538-1539 (2006) - [j7]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): 711-724 (2006) - [c20]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: 559-571 - 2005
- [j6]Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Toshiaki Katayama, Minoru Kanehisa, Satoru Miyano:
Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models. J. Bioinform. Comput. Biol. 3(6): 1295-1314 (2005) - [c18]Naoki Nariai, Yoshinori Tamada, Seiya Imoto, Satoru Miyano:
Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data. ECCB/JBI 2005: 212 - [c17]Osamu Hirose, Naoki Nariai, Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Satoru Miyano:
Estimating Gene Networks from Expression Data and Binding Location Data via Boolean Networks. ICCSA (3) 2005: 349-356 - 2004
- [j5]Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano:
Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks. J. Bioinform. Comput. Biol. 2(1): 77-98 (2004) - [c15]Reiichiro Nakamichi, Seiya Imoto, Satoru Miyano:
Case-Control Study of Binary Disease Trait Considering Interactions between SNPs and Environmental Effects using Logistic Regression. BIBE 2004: 73-78 - [c14]Seiya Imoto, Tomoyuki Higuchi, SunYong Kim, Euna Jeong, Satoru Miyano:
Residual Bootstrapping and Median Filtering for Robust Estimation of Gene Networks from Microarray Data. CMSB 2004: 149-160 - [c12]Michiel J. L. de Hoon, Yuko Makita, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Kenta Nakai, Satoru Miyano:
Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 101-108 - [c11]Tomohiro Ando, Seiya Imoto, Satoru Miyano:
Functional Data Analysis of the Dynamics of Gene Regulatory Networks. KELSI 2004: 69-83 - [c10]Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano:
Predicting the Operon Structure of Bacillus subtilis Using Operon Length, Intergene Distance, and Gene Expression Information. Pacific Symposium on Biocomputing 2004: 276-287 - [c9]Naoki Nariai, SunYong Kim, Seiya Imoto, Satoru Miyano:
Using Protein-Protein Interactions for Refining Gene Networks Estimated from Microarray Data by Bayesian Networks. Pacific Symposium on Biocomputing 2004: 336-347 - [c8]Sascha Ott, Seiya Imoto, Satoru Miyano:
Finding Optimal Models for Small Gene Networks. Pacific Symposium on Biocomputing 2004: 557-567 - 2003
- [j4]SunYong Kim, Seiya Imoto, Satoru Miyano:
Inferring gene networks from time series microarray data using dynamic Bayesian networks. Briefings Bioinform. 4(3): 228 (2003) - [j3]Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Aburatani, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano:
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network. J. Bioinform. Comput. Biol. 1(2): 231-252 (2003) - [j2]Seiya Imoto, Christopher J. Savoie, Sachiyo Aburatani, SunYong Kim, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano:
Use of Gene Networks for Identifying and Validating Drug Targets. J. Bioinform. Comput. Biol. 1(3): 459-474 (2003) - [c7]SunYong Kim, Seiya Imoto, Satoru Miyano:
Dynamic Bayesian Network and Nonparametric Regression for Nonlinear Modeling of Gene Networks from Time Series Gene Expression Data. CMSB 2003: 104-113 - [c6]Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano:
Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks. CSB 2003: 104-113 - [c5]Yoshinori Tamada, SunYong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano:
Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. ECCB 2003: 227-236 - [c4]Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano:
Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data of Bacillus Subtilis Using Differential Equations. Pacific Symposium on Biocomputing 2003: 17-28 - 2002
- [j1]Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano:
Statistical analysis of a small set of time-ordered gene expression data using linear splines. Bioinform. 18(11): 1477-1485 (2002) - [c3]Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Aburatani, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano:
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network. CSB 2002: 219-227 - [c2]Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano:
Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations. Discovery Science 2002: 267-274 - [c1]Seiya Imoto, Takao Goto, Satoru Miyano:
Estimation of Genetic Networks and Functional Structures Between Genes by Using Bayesian Networks and Nonparametric Regression. Pacific Symposium on Biocomputing 2002: 175-186
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