| Representation learning applications in biological sequence analysis H Iuchi, T Matsutani, K Yamada, N Iwano, S Sumi, S Hosoda, S Zhao, ... Computational and Structural Biotechnology Journal 19, 3198-3208, 2021 | 70 | 2021 |
| Revealing the microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation S Hosoda, S Nishijima, T Fukunaga, M Hattori, M Hamada Microbiome 8, 1-12, 2020 | 27 | 2020 |
| Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model S Hosoda, T Fukunaga, M Hamada Bioinformatics 37 (Supplement_1), i16-i24, 2021 | 5 | 2021 |
| BayesianSSA: a Bayesian statistical model based on structural sensitivity analysis for predicting responses to enzyme perturbations in metabolic networks S Hosoda, H Iwata, T Miura, M Tanabe, T Okada, A Mochizuki, M Sato bioRxiv, 2024.03. 14.585120, 2024 | | 2024 |
| Probiotic responder identification in cross-over trials for constipation using a Bayesian statistical model considering lags between intake and effect periods S Hosoda, Y Nishimoto, Y Yamauchi, T Yamada, M Hamada Computational and Structural Biotechnology Journal 21, 5350-5357, 2023 | | 2023 |
| Identification of probiotic responders in cross-over trials using the Bayesian statistical model considering lags of effect period S Hosoda, Y Nishimoto, Y Yamauchi, T Yamada, M Hamada medRxiv, 2022.03. 14.22272054, 2022 | | 2022 |
| Statistical modeling for estimation of gut microbial relationships S Hosoda 早稲田大学, 2022 | | 2022 |
| Machine learning model reveals hidden structure of human gut microbiome S Hosoda, S Nishijima, T Fukunaga, M Hattori, M Hamada | | 2020 |
Michiaki HamadaWaseda University / AIST / Nippon Medical SchoolGeverifieerd e-mailadres voor waseda.jp
