A gene network inference method from continuous-value gene expression data of wild-type and mutants KM Kyoda, S Onami, M Morohashi, H Kitano Genome Informatics 11, 196-204, 2000 | 61 | 2000 |
SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena Y Tohsato, KHL Ho, K Kyoda, S Onami Bioinformatics 32 (22), 3471-3479, 2016 | 46 | 2016 |
Construction of a generalized simulator for multi-cellular organisms and its application to Smad signal transduction KM KYODA, M MURAKI, H KITANO Biocomputing 2000, 317-328, 1999 | 42 | 1999 |
WDDD: worm developmental dynamics database K Kyoda, E Adachi, E Masuda, Y Nagai, Y Suzuki, T Oguro, M Urai, R Arai, ... Nucleic acids research 41 (D1), D732-D737, 2012 | 37 | 2012 |
OME-Zarr: a cloud-optimized bioimaging file format with international community support J Moore, D Basurto-Lozada, S Besson, J Bogovic, J Bragantini, EM Brown, ... Histochemistry and Cell Biology 160 (3), 223-251, 2023 | 32 | 2023 |
DBRF–MEGN method: an algorithm for deducing minimum equivalent gene networks from large-scale gene expression profiles of gene deletion mutants K Kyoda, K Baba, S Onami, H Kitano Bioinformatics 20 (16), 2662-2675, 2004 | 29 | 2004 |
SIMULATION OF GENETIC INTERACTION FOR DROSOPHILA LEG FORMATION K Kyoda, H Kitano Biocomputing'99, 77-89, 1999 | 26 | 1999 |
The DBRF method for inferring a gene network from large-scale steady-state gene expression data S Onami, KM Kyoda, M Morohashi, H Kitano | 20 | 2001 |
Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data K Kyoda, Y Tohsato, KHL Ho, S Onami Bioinformatics 31 (7), 1044-1052, 2015 | 13 | 2015 |
A Model of Axis Determination for the Drosophila Wing Disc K Kyoda, H Kitano European Conference on Artificial Life, 472-476, 1999 | 12 | 1999 |
BD5: An open HDF5-based data format to represent quantitative biological dynamics data K Kyoda, KHL Ho, Y Tohsato, H Itoga, S Onami Plos one 15 (8), e0237468, 2020 | 4 | 2020 |
Development of an integrated visualization system for phenotypic character networks Y Onoue, K Kyoda, M Kioka, K Baba, S Onami, K Koyamada 2018 IEEE Pacific Visualization Symposium (PacificVis), 21-25, 2018 | 4 | 2018 |
Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans S Yang, X Han, Y Tohsato, K Kyoda, S Onami, I Nishikawa, Y Chen Journal of Computational Biology 24 (5), 436-446, 2017 | 4 | 2017 |
PHi-C2: interpreting Hi-C data as the dynamic 3D genome state S Shinkai, H Itoga, K Kyoda, S Onami Bioinformatics 38 (21), 4984-4986, 2022 | 3 | 2022 |
Biology: see it again-for the first time S Luke, S Hamahashi, K Kyoda, H Ueda IEEE Intelligent Systems and Their Applications 13 (5), 6-8, 1998 | 3 | 1998 |
Deep Collection of Quantitative Nuclear Division Dynamics Data in RNAi-treated Caenorhabditis elegans Embryos K Kyoda, H Okada, H Itoga, S Onami bioRxiv, 2020.10. 04.325761, 2020 | 1 | 2020 |
Explorative visualization for phenotypic-genotypic network H Natsukawa, S Ishino, Y Onoue, K Kyoda, S Onami, K Koyamada IEEE Visualization 2019, 1-2, 2019 | 1 | 2019 |
Nuclear detection in 4D microscope images of a developing embryo using an enhanced probability map of top-ranked intensity-ordered descriptors XH Han, Y Tohsato, K Kyoda, S Onami, I Nishikawa, YW Chen IPSJ Transactions on Computer Vision and Applications 8, 1-15, 2016 | 1 | 2016 |
3d visualization of cytoplasmic streaming C Atupelage, H Nagahashi, K Kyoda, S Onami Reports of the Technical Conference of the Institute of Image Electronics …, 2015 | 1 | 2015 |
Method and program for predicting gene network S Onami, K Kyoda US Patent 7,917,300, 2011 | 1 | 2011 |