| Creation of bladder assembloids mimicking tissue regeneration and cancer E Kim, S Choi, B Kang, JH Kong, Y Kim, WH Yoon, HR Lee, SE Kim, ... Nature 588 (7839), 664-669, 2020 | 195 | 2020 |
| Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients JH Kong, H Lee, D Kim, SK Han, D Ha, K Shin, S Kim Nature communications 11 (1), 5485, 2020 | 156 | 2020 |
| Network-based machine learning approach to predict immunotherapy response in cancer patients JH Kong, D Ha, J Lee, I Kim, M Park, SH Im, K Shin, S Kim Nature communications 13 (1), 3703, 2022 | 126 | 2022 |
| Epigenetic regulation of mammalian Hedgehog signaling to the stroma determines the molecular subtype of bladder cancer SE Kim, Y Kim, JH Kong, E Kim, JH Choi, HD Yuk, HS Lee, HR Kim, ... Elife 8, e43024, 2019 | 24 | 2019 |
| Evolutionary coupling analysis identifies the impact of disease-associated variants at less-conserved sites D Kim, SK Han, K Lee, I Kim, JH Kong, S Kim Nucleic Acids Research 47 (16), e94-e94, 2019 | 15 | 2019 |
| Cancer mutations converge on a collection of protein assemblies to predict resistance to replication stress X Zhao, A Singhal, S Park, JH Kong, R Bachelder, T Ideker Cancer discovery 14 (3), 508-523, 2024 | 13 | 2024 |
| Evolutionary rewiring of regulatory networks contributes to phenotypic differences between human and mouse orthologous genes D Ha, D Kim, I Kim, Y Oh, JH Kong, SK Han, S Kim Nucleic Acids Research 50 (4), 1849-1863, 2022 | 13 | 2022 |
| Exomic and transcriptomic alterations of hereditary gingival fibromatosis SK Han, J Kong, S Kim, JH Lee, DH Han Oral Diseases 25 (5), 1374-1383, 2019 | 8 | 2019 |
| A dietary commensal microbe enhances antitumor immunity by activating tumor macrophages to sequester iron G Sharma, A Sharma, I Kim, DG Cha, S Kim, ES Park, JG Noh, J Lee, ... Nature Immunology, 1-12, 2024 | 7 | 2024 |
| Cell-cell communication network-based interpretable machine learning predicts cancer patient response to immune checkpoint inhibitors J Lee, D Kim, JH Kong, D Ha, I Kim, M Park, K Lee, SH Im, S Kim Science Advances 10 (5), eadj0785, 2024 | 7 | 2024 |
| Development of bioinformatics and multi-omics analyses in organoids D Ha, JH Kong, D Kim, K Lee, J Lee, M Park, H Ahn, Y Oh, S Kim BMB reports 56 (1), 43, 2022 | 5 | 2022 |
| Domain-mediated interactions for protein subfamily identification H Lee, I Kim, SK Han, D Kim, J Kong, S Kim Scientific Reports 10 (1), 264, 2020 | 4 | 2020 |
| Deconvolution of bulk tumors into distinct immune cell states predicts colorectal cancer recurrence D Kim, J Kim, J Lee, SK Han, K Lee, JH Kong, YJ Kim, WY Lee, SH Yun, ... Iscience 25 (11), 2022 | 3 | 2022 |
| Prediction of immunotherapy response using mutations to cancer protein assemblies JH Kong, X Zhao, A Singhal, S Park, R Bachelder, J Shen, H Zhang, ... Science Advances 10 (38), eado9746, 2024 | 2 | 2024 |
| Integrated germline and somatic features reveal divergent immune pathways driving response to immune checkpoint blockade TJ Sears, MS Pagadala, A Castro, K Lee, JH Kong, K Tanaka, ... Cancer Immunology Research 12 (12), 1780-1795, 2024 | 1 | 2024 |
| Integrated germline and somatic features reveal divergent immune pathways driving ICB response T Sears, M Pagadala, A Castro, K Lee, JH Kong, K Tanaka, S Lippman, ... bioRxiv, 2024 | 1 | 2024 |
| Cancer mutations converge on a constellation of molecular assemblies to predict resistance to replication stress agents X Zhao, A Singhal, SJ Park, JH Kong, R Bachelder, T Ideker Cancer Research 84 (6_Supplement), 4918-4918, 2024 | | 2024 |
| Abstract A015: Prediction of immunotherapy response using mutations to cancer protein assemblies JH Kong, R Bachelder, X Zhao, S Park, A Singhal, H Carter, T Ideker Molecular Cancer Therapeutics 22 (12_Supplement), A015-A015, 2023 | | 2023 |
| Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancer JH Kong, J Kim, D Kim, K Lee, J Lee, SK Han, I Kim, S Lim, M Park, S Shin, ... Patterns 4 (6), 2023 | | 2023 |
| Interpretable Deep Learning Identifies a Constellation of Molecular Assemblies to Predict Response to Replication Stress A Singhal, X Zhao, S Park, JH Kong, R Bachelder, T Ideker 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
Sanguk KimProfessor, Department of Life Science, POSTECHEmail verificata su postech.ac.kr