Dynamic modeling of genetic networks using genetic algorithm and S-system S Kikuchi, D Tominaga, M Arita, K Takahashi, M Tomita Bioinformatics 19 (5), 643-650, 2003 | 542 | 2003 |
Development of a system for the inference of large scale genetic networks Y Maki, D Tominaga, M Okamoto, S Watanabe, Y Eguchi Biocomputing 2001, 446-458, 2000 | 207 | 2000 |
Efficient numerical optimization algorithm based on genetic algorithm for inverse problem D Tominaga, N Koga, M Okamoto Proceedings of the 2nd Annual Conference on Genetic and Evolutionary …, 2000 | 138 | 2000 |
Nonlinear numerical optimization with use of a hybrid genetic algorithm incorporating the modified Powell method M Okamoto, T Nonaka, S Ochiai, D Tominaga Applied Mathematics and Computation 91 (1), 63-72, 1998 | 79 | 1998 |
MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation C Fang, T Noguchi, D Tominaga, H Yamana BMC bioinformatics 14, 1-14, 2013 | 67 | 2013 |
Detecting outlying samples in microarray data: A critical assessment of the effect of outliers on sample classification K Kadota, D Tominaga, Y Akiyama, K Takahashi Chem-Bio Informatics Journal 3 (1), 30-45, 2003 | 63 | 2003 |
Nonlinear Numerical Optimization Technique Based on a Genetic Algorithm for Inverse Problems: Towards the Inference of Genetic Networks. D Tominaga, M Okamoto, Y Maki, S Watanabe, Y Eguchi German conference on bioinformatics 99, 127-140, 1999 | 55 | 1999 |
Design of canonical model describing complex nonlinear dynamics D Tominaga, M Okamoto IFAC Proceedings Volumes 31 (8), 85-90, 1998 | 29 | 1998 |
Cortical transcriptome analysis after spinal cord injury reveals the regenerative mechanism of central nervous system in CRMP2 knock-in mice A Sugeno, W Piao, M Yamazaki, K Takahashi, K Arikawa, H Matsunaga, ... Neural Regeneration Research 16 (7), 1258-1265, 2021 | 13 | 2021 |
Pathway finding from given time-courses using genetic algorithm S Kikuchi, D Tominaga, M Arita, M Tomita Genome Informatics 12, 304-305, 2001 | 13 | 2001 |
Periodicity detection method for small-sample time series datasets D Tominaga Bioinformatics and biology insights 4, BBI. S5983, 2010 | 11 | 2010 |
Correlation analysis of mRNA and protein abundances in human tissues K Kadota, D Tominaga, R Asai, K Takahashi Genome Letters 2 (4), 139-148, 2003 | 11 | 2003 |
Design of virtual-labo-system for metabolic engineering: development of biochemical engineering system analyzing tool-kit (BEST KIT) M Okamoto, Y Morita, D Tominaga, K Tanaka, N Kinoshita, J Ueno, ... Computers & chemical engineering 21, S745-S750, 1997 | 11 | 1997 |
Toward a virtual-labo-system for metabolic engineering: Development of biochemical engineering system analyzing tool-kit (BEST-KIT) M Okamoto, Y Morita, D Tominaga, K Tanaka, N Kinoshita, JI Ueno, ... Biocomputing'97-Proceedings Of The Pacific Symposium, 304, 1996 | 10 | 1996 |
Discovery of a Skeletal Network Describing Complex Nonlinear Dynamics: Optimized Essential Model for Temporal Input-Output Matching D Tominaga Tutorials of the 4th Intl. Conf. on Soft Computing (IIZUKA 96), 65-80, 1996 | 9 | 1996 |
Algorithms for inference of genetic networks (AIGNET) S Watanabe, Y Maki, Y Eguchi, D Tominaga, M Okamoto Genome Informatics 9, 274-275, 1998 | 6 | 1998 |
Two-way aic: detection of differentially expressed genes from large scale microarray meta-dataset K Tsuyuzaki, D Tominaga, Y Kwon, S Miyazaki BMC genomics 14, 1-11, 2013 | 5 | 2013 |
AIGNET: Improvement of a system and application to the experimentally observed expression data Y Arikawa, S Watanabe, Y Eguchi, Y Maki, D Tominaga, M Okamoto Genome Informatics 11, 291-292, 2000 | 4 | 2000 |
Estimate hidden dynamic profiles of siRNA effect on apoptosis T Ueda, D Tominaga, N Araki, T Yoshikawa BMC bioinformatics 14, 1-6, 2013 | 3 | 2013 |
Distributed genetic algorithm for inference of biological scale-free network structure D Tominaga, K Takahashi, Y Akiyama High Performance Computing: 5th International Symposium, ISHPC 2003, Tokyo …, 2003 | 3 | 2003 |