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| 書誌情報 | ファイル |
|---|---|
| Reshaped tensor nuclear norms for higher order tensor completion Wimalawarne, Kishan; Mamitsuka, Hiroshi (2021-03) Machine Learning, 110: 507-531 |  |
| Machine Learning for Metabolic Identification Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi (2021) Creative Complex Systems (2021): 329-350 | |
| SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug–drug interactions Nguyen, Duc Anh; Nguyen, Canh Hao; Petschner, Peter; Mamitsuka, Hiroshi (2022-07) Bioinformatics, 38(Supplement_1): i333-i341 | |
| A survey on adverse drug reaction studies: data, tasks and machine learning methods Nguyen, Duc Anh; Nguyen, Canh Hao; Mamitsuka, Hiroshi (2021-01) Briefings in Bioinformatics, 22(1): 164-177 | |
| BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text You, Ronghui; Liu, Yuxuan; Mamitsuka, Hiroshi; Zhu, Shanfeng (2021-03-01) Bioinformatics, 37(5): 684-692 | |
| HPOFiller: identifying missing protein–phenotype associations by graph convolutional network Liu, Lizhi; Mamitsuka, Hiroshi; Zhu, Shanfeng (2021-10-01) Bioinformatics, 37(19): 3328-3336 | |
| Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean Kaneko, Hiroto; Blanc-Mathieu, Romain; Endo, Hisashi; Chaffron, Samuel; Delmont, Tom O.; Gaia, Morgan; Henry, Nicolas; Hernández-Velázquez, Rodrigo; Nguyen, Canh Hao; Mamitsuka, Hiroshi; Forterre, Patrick; Jaillon, Olivier; de Vargas, Colomban; Sullivan, Matthew B.; Suttle, Curtis A.; Guidi, Lionel; Ogata, Hiroyuki (2021-01-22) iScience, 24(1) | |