| LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec S Tsukiyama, MM Hasan, S Fujii, H Kurata Briefings in bioinformatics 22 (6), bbab228, 2021 | 83 | 2021 |
| Deepm5C: a deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy MM Hasan, S Tsukiyama, JY Cho, H Kurata, MA Alam, X Liu, ... Molecular Therapy 30 (8), 2856-2867, 2022 | 59 | 2022 |
| iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model H Kurata, S Tsukiyama, B Manavalan Briefings in bioinformatics 23 (4), bbac265, 2022 | 36 | 2022 |
| BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches S Tsukiyama, MM Hasan, HW Deng, H Kurata Briefings in Bioinformatics 23 (2), bbac053, 2022 | 36 | 2022 |
| ICAN: interpretable cross-attention network for identifying drug and target protein interactions H Kurata, S Tsukiyama Plos one 17 (10), e0276609, 2022 | 10 | 2022 |
| Cross-attention PHV: Prediction of human and virus protein-protein interactions using cross-attention–based neural networks S Tsukiyama, H Kurata Computational and Structural Biotechnology Journal 20, 5564-5573, 2022 | 8 | 2022 |
| CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction S Tsukiyama, MM Hasan, H Kurata Computational and Structural Biotechnology Journal 21, 644-654, 2023 | 7 | 2023 |
| Discrimination between dementia groups and healthy elderlies using scalp-recorded-EEG-based brain functional connectivity networks S Nishijima, T Yada, T Yamazaki, Y Kuroiwa, M Nakane, K Fujino, T Hirai, ... Journal of Biomedical Science and Engineering 13 (7), 153-167, 2020 | 3 | 2020 |
| MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models H Kurata, M Harun-Or-Roshid, MM Hasan, S Tsukiyama, K Maeda, ... Methods 227, 37-47, 2024 | 2 | 2024 |
| PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides H Kurata, M Harun-Or-Roshid, S Tsukiyama, K Maeda Plos one 19 (8), e0309078, 2024 | 1 | 2024 |
| Discriminability among Japanese vowels using early components in silent-speech-related potentials S Tsukiyama, T Yamazaki IEICE Technical Report; IEICE Tech. Rep. 119 (251), 81-86, 2019 | 1 | 2019 |
| Mora-ERP-based RNN-Transformer for decoding single-trial EEGs during silent Japanese speeches T Yamazaki, S Kudo, S Kamata, S Fujii, S Tsukiyama, T Yata, S Aoki bioRxiv, 2024.11. 18.624218, 2024 | | 2024 |
| Detection of covert-speech-related potentials S Tsukiyama, T Yamazaki IEICE Technical Report; IEICE Tech. Rep. 119 (452), 35-40, 2020 | | 2020 |
