| Conversion of a signal into forces for axon outgrowth through Pak1-mediated shootin1 phosphorylation M Toriyama, S Kozawa, Y Sakumura, N Inagaki Current Biology 23 (6), 529-534, 2013 | 102 | 2013 |
| Shootin1–cortactin interaction mediates signal–force transduction for axon outgrowth Y Kubo, K Baba, M Toriyama, T Minegishi, T Sugiura, S Kozawa, K Ikeda, ... Journal of Cell Biology 210 (4), 663-676, 2015 | 73 | 2015 |
| The body-wide transcriptome landscape of disease models S Kozawa, R Ueda, K Urayama, F Sagawa, S Endo, K Shiizaki, H Kurosu, ... IScience 2, 238-268, 2018 | 17 | 2018 |
| Predicting human clinical outcomes using mouse multi-organ transcriptome S Kozawa, F Sagawa, S Endo, GM De Almeida, Y Mitsuishi, TN Sato Iscience 23 (2), 2020 | 8 | 2020 |
| Re-evaluating the functional landscape of the cardiovascular system during development N Takada, M Omae, F Sagawa, NC Chi, S Endo, S Kozawa, TN Sato Biology Open 6 (11), 1756-1770, 2017 | 7 | 2017 |
| Real-time prediction of cell division timing in developing zebrafish embryo S Kozawa, T Akanuma, T Sato, YD Sato, K Ikeda, TN Sato Scientific reports 6 (1), 32962, 2016 | 7 | 2016 |
| Subsurface imaging for anti-personal mine detection by Bayesian super-resolution with a smooth-gap prior S Kozawa, T Takenouchi, K Ikeda Artificial Life and Robotics 16, 478-481, 2012 | 4 | 2012 |
| Subsurface imaging by Bayesian super-resolution for anti-personal mine detection using ground penetrating radar S Kozawa, T Takenouchi, S Ishii Journal of Signal Processing 14 (4), 297-300, 2010 | 2 | 2010 |
| Latent disease similarities and therapeutic repurposing possibilities uncovered by multi-modal generative topic modeling of human diseases S Kozawa, H Yokoyama, K Urayama, K Tejima, H Doi, S Takagi, TN Sato Bioinformatics Advances 3 (1), vbad047, 2023 | 1 | 2023 |
| Application of augmented topic model to predicting biomarkers and therapeutic targets using multiple human disease-omics datasets S Kozawa, K Urayama, K Tejima, H Doi, H Yokoyama, Y Ueno, TN Sato bioRxiv, 2021.05. 18.444550, 2021 | 1 | 2021 |
| Bayesian Cell Force Estimation Considering Force Directions S Kozawa, Y Sakumura, M Toriyama, N Inagaki, K Ikeda Neural Processing Letters 41, 191-200, 2015 | 1 | 2015 |
| An estimation of cell forces with hierarchical bayes approach considering cell morphology S Kozawa, Y Sakumura, M Toriyama, N Inagaki, K Ikeda Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 1 | 2012 |
| Latent inter-organ mechanism of idiopathic pulmonary fibrosis unveiled by a generative computational approach S Kozawa, K Tejima, S Takagi, M Kuroda, M Nogami-Itoh, H Kitamura, ... Scientific Reports 13 (1), 21981, 2023 | | 2023 |
| Bayesian traction force estimation using cell boundary-dependent force priors R Fujikawa, C Okimura, S Kozawa, K Ikeda, N Inagaki, Y Iwadate, ... Biophysical Journal 122 (23), 4542-4554, 2023 | | 2023 |
| On the complexity of tree edit distance with variables T Akutsu, T Mori, N Nakamura, S Kozawa, Y Ueno, TN Sato 33rd International Symposium on Algorithms and Computation (ISAAC 2022) 248 …, 2022 | | 2022 |
| Tree Edit Distance with Variables. Measuring the Similarity between Mathematical Formulas T Akutsu, T Mori, N Nakamura, S Kozawa, Y Ueno, TN Sato arXiv preprint arXiv:2105.04802, 2021 | | 2021 |
| Body-wide landscape of cell type-specific total cellular transcriptome-size and its physiological significance K Tejima, S Kozawa, TN Sato bioRxiv, 2020.07. 05.188276, 2020 | | 2020 |
| Bayesian Cell Force Estimation Introducing Cell Shape Prior R Fujikawa, S Kozawa, K Baba, N Inagaki, K Ikeda, Y Sakumura Biophysical Journal 118 (3), 459a, 2020 | | 2020 |
| Diverse yet highly selective interorgan crosstalk mechanisms shape the bodywide transcriptome landscape N Takada, M Omae, F Sagawa, NC Chi, S Endo, S Kozawa, TN Sato bioRxiv, 102723, 2017 | | 2017 |
