| ChimerDB 4.0: an updated and expanded database of fusion genes YE Jang, I Jang, S Kim, S Cho, D Kim, K Kim, J Kim, J Hwang, S Kim, ... Nucleic acids research 48 (D1), D817-D824, 2020 | 70 | 2020 |
| Improved survival analysis by learning shared genomic information from pan-cancer data S Kim, K Kim, J Choe, I Lee, J Kang Bioinformatics 36 (Supplement_1), i389-i398, 2020 | 54 | 2020 |
| Mut2Vec: distributed representation of cancerous mutations S Kim, H Lee, K Kim, J Kang BMC medical genomics 11, 57-69, 2018 | 46 | 2018 |
| FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings D Park, K Kim, S Kim, M Spranger, J Kang Scientific reports 11 (1), 931, 2021 | 39 | 2021 |
| Kitchenette: Predicting and recommending food ingredient pairings using siamese neural networks D Park, K Kim, Y Park, J Shin, J Kang arXiv preprint arXiv:1905.07261, 2019 | 23 | 2019 |
| Recipebowl: A cooking recommender for ingredients and recipes using set transformer M Gim, D Park, M Spranger, K Maruyama, J Kang IEEE Access 9, 143623-143633, 2021 | 12 | 2021 |
| Bipartite link prediction by intra-class connection based triadic closure J Shin, M Gim, D Park, S Kim, J Kang IEEE Access 8, 140194-140204, 2020 | 7 | 2020 |
| ArkDTA: attention regularization guided by non-covalent interactions for explainable drug–target binding affinity prediction M Gim, J Choe, S Baek, J Park, C Lee, M Ju, S Lee, J Kang Bioinformatics 39 (Supplement_1), i448-i457, 2023 | 6 | 2023 |
| RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer M Gim, D Choi, K Maruyama, J Choi, H Kim, D Park, J Kang Proceedings of the 31st ACM international conference on information …, 2022 | 4 | 2022 |
| MulinforCPI: enhancing precision of compound–protein interaction prediction through novel perspectives on multi-level information integration NQ Nguyen, S Park, M Gim, J Kang Briefings in Bioinformatics 25 (1), bbad484, 2024 | 1 | 2024 |
| MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints M Gim, J Park, S Park, S Lee, S Baek, J Lee, NQ Nguyen, J Kang arXiv preprint arXiv:2401.16771, 2024 | | 2024 |
| 3DinforCPI: Enhancing Efficiency of Compound-Protein Interaction Prediction Through Novel Perspectives on Multi-level Information Integration NQ Nguyen, S Park, M Gim, J Kang | | 2023 |
| KitchenScale: Learning to predict ingredient quantities from recipe contexts D Choi, M Gim, S Badreddine, H Kim, D Park, J Kang Expert Systems with Applications 224, 120041, 2023 | | 2023 |
| HADAPS: Hierarchical Adaptive Multi-Asset Portfolio Selection J Kim, D Choi, M Gim, J Kang IEEE Access, 2023 | | 2023 |
| Mut2Vec: distributed representation of cancerous mutations Additional File 2 S Kim, H Lee, K Kim, J Kang | | |
