| BioBERT: a pre-trained biomedical language representation model for biomedical text mining J Lee, W Yoon, S Kim, D Kim, S Kim, CH So, J Kang Bioinformatics 36 (4), 1234-1240, 2020 | 6031 | 2020 |
| Building a PubMed knowledge graph J Xu, S Kim, M Song, M Jeong, D Kim, J Kang, JF Rousseau, X Li, W Xu, ... Scientific Data 7 (205), 2020 | 173 | 2020 |
| BEST: next-generation biomedical entity search tool for knowledge discovery from biomedical literature S Lee, D Kim, K Lee, J Choi, S Kim, M Jeon, S Lim, D Choi, S Kim, AC Tan, ... PloS one 11 (10), e0164680, 2016 | 114 | 2016 |
| ChimerDB 3.0: an enhanced database for fusion genes from cancer transcriptome and literature data mining M Lee, K Lee, N Yu, I Jang, I Choi, P Kim, YE Jang, B Kim, S Kim, B Lee, ... Nucleic acids research 45 (D1), D784-D789, 2017 | 88 | 2017 |
| 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 | 78 | 2020 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 69 | 2021 |
| In silico drug combination discovery for personalized cancer therapy M Jeon, S Kim, S Park, H Lee, J Kang BMC systems biology 12, 59-67, 2018 | 69 | 2018 |
| 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, ISMB 2020 proceeding), i389-i398, 2020 | 61 | 2020 |
| ReSimNet: drug response similarity prediction using Siamese neural networks M Jeon, D Park, J Lee, H Jeon, M Ko, S Kim, Y Choi, AC Tan, J Kang Bioinformatics 35 (24), 5249-5256, 2019 | 53 | 2019 |
| Deep learning of mutation-gene-drug relations from the literature K Lee, B Kim, Y Choi, S Kim, W Shin, S Lee, S Park, S Kim, AC Tan, ... BMC bioinformatics 19, 1-13, 2018 | 51 | 2018 |
| Mut2Vec: distributed representation of cancerous mutations S Kim, H Lee, K Kim, J Kang BMC medical genomics 11, 57-69, 2018 | 51 | 2018 |
| BRONCO: Biomedical entity Relation ONcology COrpus for extracting gene-variant-disease-drug relations K Lee, S Lee, S Park, S Kim, S Kim, K Choi, AC Tan, J Kang Database 2016, baw043, 2016 | 43 | 2016 |
| DreamAI: algorithm for the imputation of proteomics data W Ma, S Kim, S Chowdhury, Y Mi, S Yoo, F Petralia, J Jacobsen, JJ Li, ... bioRxiv, 2020 | 31 | 2020 |
| Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ... Cell Systems, 2020 | 26 | 2020 |
| HiPub: translating PubMed and PMC texts to networks for knowledge discovery K Lee, W Shin, B Kim, S Lee, Y Choi, S Kim, M Jeon, AC Tan, J Kang Bioinformatics 32 (18), 2886-2888, 2016 | 22 | 2016 |
| Predicting mechanism of action of novel compounds using compound structure and transcriptomic signature coembedding G Jang, S Park, S Lee, S Kim, S Park, J Kang Bioinformatics 37 (Supplement_1, ISMB 2021 proceeding), i376-i382, 2021 | 17 | 2021 |
| Large language models: a guide for radiologists S Kim, C Lee, S Kim Korean Journal of Radiology 25 (2), 126, 2024 | 16 | 2024 |
| Using knowledge base to refine data augmentation for biomedical relation extraction W Yoon, S Yi, R Jackson, H Kim, S Kim, J Kang Proceedings of the BioCreative VII challenge evaluation workshop, 31-35, 2021 | 9 | 2021 |
| Deep-Learning-Based Natural Language Processing of Serial Free-Text Radiological Reports for Predicting Rectal Cancer Patient Survival S Kim, C Lee, Y Choi, ES Baek, JE Choi, J Lim, J Kang, SJ Shin Frontiers in Oncology, 4796, 2021 | 8 | 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 |
Jaewoo Kang (강재우)Dept of Computer Science and Engineering, Korea Universitykorea.ac.kr의 이메일 확인됨
