| OASIS 2: online application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research SK Han, D Lee, H Lee, D Kim, HG Son, JS Yang, SJV Lee, S Kim Oncotarget 7 (35), 56147, 2016 | 395 | 2016 |
| 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 | 123 | 2020 |
| Capicua suppresses hepatocellular carcinoma progression by controlling the ETV4–MMP1 axis E Kim, D Kim, JS Lee, J Yoe, J Park, CJ Kim, D Jeong, S Kim, Y Lee Hepatology 67 (6), 2287-2301, 2018 | 83 | 2018 |
| Capicua restricts cancer stem cell-like properties in breast cancer cells J Yoe, D Kim, S Kim, Y Lee Oncogene 39 (17), 3489-3506, 2020 | 23 | 2020 |
| Divergence of noncoding regulatory elements explains gene–phenotype differences between human and mouse orthologous genes SK Han, D Kim, H Lee, I Kim, S Kim Molecular Biology and Evolution 35 (7), 1653-1667, 2018 | 22 | 2018 |
| Capicua suppresses colorectal cancer progression via repression of ETV4 expression JS Lee, E Kim, J Lee, D Kim, H Kim, CJ Kim, S Kim, D Jeong, Y Lee Cancer Cell International 20, 1-11, 2020 | 20 | 2020 |
| 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 | 14 | 2019 |
| Enzyme activity engineering based on sequence co-evolution analysis D Kim, MH Noh, M Park, I Kim, H Ahn, D Ye, GY Jung, S Kim Metabolic Engineering 74, 49-60, 2022 | 11 | 2022 |
| 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 | 11 | 2022 |
| Link clustering explains non-central and contextually essential genes in protein interaction networks I Kim, H Lee, K Lee, SK Han, D Kim, S Kim Scientific Reports 9 (1), 11672, 2019 | 4 | 2019 |
| 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 | 3 | 2020 |
| 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 | 2 | 2024 |
| 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 | 2 | 2022 |
| The implication of holocytochrome c synthase mutation in Korean familial hypoplastic amelogenesis imperfecta H Choi, K Lee, D Kim, S Kim, JH Lee Clinical Oral Investigations 26 (6), 4487-4498, 2022 | 2 | 2022 |
| expHRD: an individualized, transcriptome-based prediction model for homologous recombination deficiency assessment in cancer JJ Lee, HJ Kang, D Kim, SO Lim, SS Kim, G Kim, S Kim, JK Lee, J Kim BMC bioinformatics 25 (1), 236, 2024 | 1 | 2024 |
| Drug approval prediction based on the discrepancy in gene perturbation effects between cells and humans M Park, D Kim, I Kim, SH Im, S Kim EBioMedicine 94, 2023 | 1 | 2023 |
| 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, 2023 | 1 | 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 |
| An evolution-based machine learning to identify cancer type-specific driver mutations D Kim, D Ha, K Lee, H Lee, I Kim, S Kim Briefings in Bioinformatics 24 (1), bbac593, 2023 | | 2023 |
| Drug approval prediction based on the discrepancy between gene perturbation effects in cells and humans S Kim, M Park, D Kim, I Kim, SH Im | | 2022 |
Sanguk KimProfessor, Department of Life Science, POSTECH在 postech.ac.kr 的电子邮件经过验证
