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| 書誌情報 | ファイル |
|---|---|
| A novel method for inference of chemical compounds of cycle index two with desired properties based on artificial neural networks and integer programming Zhu, Jianshen; Wang, Chenxi; Shurbevski, Aleksandar; Nagamochi, Hiroshi; Akutsu, Tatsuya (2020-05) Algorithms, 13(5) |  |
| MSNet-4mC: Learning effective multi-scale representations for identifying DNA N4-methylcytosine sites Liu, Chunting; Song, Jiangning; Ogata, Hiroyuki; Akutsu, Tatsuya (2022-12-01) Bioinformatics, 38(23): 5160-5167 | |
| Extracting boolean and probabilistic rules from trained neural networks Liu, Pengyu; Melkman, Avraham A.; Akutsu, Tatsuya (2020-06) Neural Networks, 126: 300-311 | |
| Weighted minimum feedback vertex sets and implementation in human cancer genes detection Li, Ruiming; Lin, Chun-Yu; Guo, Weifeng; Akutsu, Tatsuya (2021) BMC Bioinformatics, 22 | |
| Identification of periodic attractors in Boolean networks using a priori information Münzner, Ulrike; Mori, Tomoya; Krantz, Marcus; Klipp, Edda; Akutsu, Tatsuya (2022-01) PLOS Computational Biology, 18(1) | |
| A novel graph convolutional neural network for predicting interaction sites on protein kinase inhibitors in phosphorylation Wang, Feiqi; Chen, Yun-Ti; Yang, Jinn-Moon; Akutsu, Tatsuya (2022) Scientific Reports, 12 | |
| Attractor detection and enumeration algorithms for Boolean networks Mori, Tomoya; Akutsu, Tatsuya (2022-05) Computational and Structural Biotechnology Journal, 20: 2512-2520 | |
| ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites Liu, Pengyu; Song, Jiangning; Lin, Chun-Yu; Akutsu, Tatsuya (2021) BMC Bioinformatics, 22 | |