| 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 | 876 | 2002 |
| Identification of gene regulatory networks by strategic gene disruptions and gene overexpressions T Akutsu, S Kuhara, O Maruyama, S Miyano SODA 98, 695-702, 1998 | 194 | 1998 |
| 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 | 180 | 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 | 111 | 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 | 52 | 2010 |
| NWE: Node-weighted expansion for protein complex prediction using random walk distances O Maruyama, A Chihara Proteome science 9, 1-11, 2011 | 35 | 2011 |
| Views: Fundamental Building Blocks in the Process of Knowledge Discovery. H Bannai, Y Tamada, O Maruyama, K Nakai, S Miyano FLAIRS, 233-238, 2001 | 35 | 2001 |
| Sampling Strategy for Protein Complex Prediction Using Cluster Size Frequency D Tatsuke, O Maruyama Gene, 2012 | 30 | 2012 |
| Discovery of small protein complexes from PPI networks with size-specific supervised weighting CH Yong, O Maruyama, L Wong BMC systems biology 8, 1-15, 2014 | 29 | 2014 |
| Finding optimal degenerate patterns in DNA sequences D Shinozaki, T Akutsu, O Maruyama Bioinformatics 19 (suppl_2), ii206-ii214, 2003 | 26 | 2003 |
| PPSampler2: Predicting protein complexes more accurately and efficiently by sampling CK Widita, O Maruyama BMC systems biology 7 (Suppl 6), S14, 2013 | 23 | 2013 |
| 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 | 19 | 2013 |
| Designing views in HypothesisCreator: System for assisting in discovery O Maruyama, T Uchida, KL Sim, S Miyano Discovery Science: Second International Conference, DS’99 Tokyo, Japan …, 1999 | 19 | 1999 |
| Toward genomic hypothesis creator: View designer for discovery O Maruyama, T Uchida, T Shoudai, S Miyano Discovey Science: First International Conference, DS’98 Fukuoka, Japan …, 1998 | 19 | 1998 |
| Prediction of heterotrimeric protein complexes by two-phase learning using neighboring kernels P Ruan, M Hayashida, O Maruyama, T Akutsu BMC bioinformatics 15, 1-6, 2014 | 18 | 2014 |
| 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 | 17 | 2018 |
| 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 | 17 | 1999 |
| Inferring a tree from walks O Maruyama, S Miyano Theoretical Computer Science 161 (1-2), 289-300, 1996 | 14 | 1996 |
| Graph inference from a walk for trees of bounded degree 3 is NP-complete O Maruyama, S Miyano International Symposium on Mathematical Foundations of Computer Science, 257-266, 1995 | 12 | 1995 |
| Design aspects of discovery systems O Maruyama, S Miyano IEICE Transactions on Information and Systems 83 (1), 61-70, 2000 | 11 | 2000 |
