| Extensive feature detection of N-terminal protein sorting signals H Bannai, Y Tamada, O Maruyama, K Nakai, S Miyano Bioinformatics 18 (2), 298-305, 2002 | 916 | 2002 |
| Identification of gene regulatory networks by strategic gene disruptions and gene overexpressions T Akutsu, S Kuhara, O Maruyama, S Miyano Genome Informatics 8, 254-255, 1997 | 195 | 1997 |
| A system for identifying genetic networks from gene expression patterns produced by gene disruptions and overexpressions T Akutsu, S Kuhara, O Maruyama, S Miyano Genome Informatics 9, 151-160, 1998 | 192 | 1998 |
| Identification of genetic networks by strategic gene disruptions and gene overexpressions under a boolean model T Akutsu, S Kuhara, O Maruyama, S Miyano Theoretical Computer Science 298 (1), 235-251, 2003 | 117 | 2003 |
| X chromosome-wide analyses of genomic DNA methylation states and gene expression in male and female neutrophils Y Yasukochi, O Maruyama, MC Mahajan, C Padden, GM Euskirchen, ... Proceedings of the National Academy of Sciences 107 (8), 3704-3709, 2010 | 62 | 2010 |
| NWE: Node-weighted expansion for protein complex prediction using random walk distances O Maruyama, A Chihara 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2010 | 35 | 2010 |
| Views: Fundamental building blocks in the process of knowledge discovery H Bannai, Y Tamada, O Maruyama, K Nakai, S Miyano Proceedings of the Fourteenth International Florida Artificial Intelligence …, 2001 | 35 | 2001 |
| Discovery of small protein complexes from PPI networks with size-specific supervised weighting CH Yong, O Maruyama, L Wong BMC systems biology 8 (Suppl 5), S3, 2014 | 29 | 2014 |
| Finding optimal degenerate patterns in DNA sequences D Shinozaki, T Akutsu, O Maruyama Bioinformatics 19 (suppl_2), ii206-ii214, 2003 | 27 | 2003 |
| Sampling Strategy for Protein Complex Prediction Using Cluster Size Frequency D Tatsuke, O Maruyama Gene, 2012 | 26 | 2012 |
| Determining the minimum number of protein-protein interactions required to support known protein complexes N Nakajima, M Hayashida, J Jansson, O Maruyama, T Akutsu PloS one 13 (4), e0195545, 2018 | 21 | 2018 |
| Designing views in HypothesisCreator: System for assisting in discovery O Maruyama, T Uchida, KL Sim, S Miyano International Conference on Discovery Science, 115-127, 1999 | 21 | 1999 |
| Toward genomic hypothesis creator: View designer for discovery O Maruyama, T Uchida, T Shoudai, S Miyano International Conference on Discovery Science, 105-116, 1998 | 21 | 1998 |
| PPSampler2: Predicting protein complexes more accurately and efficiently by sampling CK Widita, O Maruyama BMC systems biology 7 (Suppl 6), S14, 2013 | 20 | 2013 |
| A system to find genetic networks using weighted network model T Moriyama, A Shinohara, M Takeda, O Maruyama, T Goto, S Miyano, ... Genome Informatics 10, 186-195, 1999 | 18 | 1999 |
| Prediction of heterotrimeric protein complexes by two-phase learning using neighboring kernels P Ruan, M Hayashida, O Maruyama, T Akutsu BMC bioinformatics 15 (Suppl 2), S6, 2014 | 14 | 2014 |
| Prediction of heterodimeric protein complexes from weighted protein-protein interaction networks using novel features and kernel functions P Ruan, M Hayashida, O Maruyama, T Akutsu PloS one 8 (6), e65265, 2013 | 14 | 2013 |
| Inferring a tree from walks O Maruyama, S Miyano Theoretical Computer Science 161 (1-2), 289-300, 1996 | 13 | 1996 |
| Heterodimeric protein complex identification by naïve Bayes classifiers O Maruyama BMC bioinformatics 14 (1), 347, 2013 | 12 | 2013 |
| Extensive search for discriminative features of alternative splicing H Sakai, O Maruyama Biocomputing 2004, 54-65, 2003 | 12 | 2003 |
