| Chemistry-first approach for nomination of personalized treatment in lung cancer EA McMillan, MJ Ryu, CH Diep, S Mendiratta, JR Clemenceau, ... Cell 173 (4), 864-878. e29, 2018 | 116 | 2018 |
| Hierarchical Bayesian matrix factorization with side information S Park, YD Kim, S Choi Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 75 | 2013 |
| Development and validation of a prognostic and predictive 32-gene signature for gastric cancer JH Cheong, SC Wang, S Park, MR Porembka, AL Christie, H Kim, HS Kim, ... Nature communications 13 (1), 774, 2022 | 58 | 2022 |
| Hierarchical Gaussian process regression S Park, S Choi Proceedings of 2nd Asian conference on machine learning, 95-110, 2010 | 51 | 2010 |
| HSD3B1(1245A>C) variant regulates dueling abiraterone metabolite effects in prostate cancer M Alyamani, H Emamekhoo, S Park, J Taylor, N Almassi, S Upadhyay, ... The Journal of clinical investigation 128 (8), 3333-3340, 2018 | 50 | 2018 |
| Transfer learning across ontologies for phenome–genome association prediction R Petegrosso, S Park, TH Hwang, R Kuang Bioinformatics 33 (4), 529-536, 2017 | 45 | 2017 |
| Computerized classification of prostate cancer gleason scores from whole slide images H Xu, S Park, TH Hwang IEEE/ACM transactions on computational biology and bioinformatics 17 (6 …, 2019 | 36 | 2019 |
| Comprehensive Ex Vivo Transposon Mutagenesis Identifies Genes That Promote Growth Factor Independence and Leukemogenesis Y Guo, BL Updegraff, S Park, D Durakoglugil, VH Cruz, S Maddux, ... Cancer research 76 (4), 773-786, 2016 | 31 | 2016 |
| Network-based drug sensitivity prediction KT Ahmed, S Park, Q Jiang, Y Yeu, TH Hwang, W Zhang BMC medical genomics 13, 1-10, 2020 | 30 | 2020 |
| Using transfer learning on whole slide images to predict tumor mutational burden in bladder cancer patients H Xu, S Park, SH Lee, TH Hwang BioRxiv, 554527, 2019 | 29 | 2019 |
| An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types S Park, SJ Kim, D Yu, S Pena-Llopis, J Gao, JS Park, B Chen, J Norris, ... Bioinformatics 32 (11), 1643-1651, 2016 | 26 | 2016 |
| 704MO Avelumab first-line (1L) maintenance+ best supportive care (BSC) vs BSC alone with 1L chemotherapy (CTx) for advanced urothelial carcinoma (UC): Subgroup analyses from … P Grivas, SH Park, E Voog, C Caserta, BP Valderrama, H Gurney, ... Annals of Oncology 31, S555-S556, 2020 | 23 | 2020 |
| Gaussian process regression for voice activity detection and speech enhancement S Park, S Choi 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 23 | 2008 |
| Gaussian processes for source separation S Park, S Choi 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 23 | 2008 |
| Spatial heterogeneity and organization of tumor mutation burden with immune infiltrates within tumors based on whole slide images correlated with patient survival in bladder cancer H Xu, JR Clemenceau, S Park, J Choi, SH Lee, TH Hwang Journal of Pathology Informatics 13, 100105, 2022 | 17 | 2022 |
| A constrained sequential EM algorithm for speech enhancement S Park, S Choi Neural Networks 21 (9), 1401-1409, 2008 | 17 | 2008 |
| ACTA2 Expression Predicts Survival and Is Associated with Response to Immune Checkpoint Inhibitors in Gastric Cancer S Park, JD Karalis, C Hong, JR Clemenceau, MR Porembka, IH Kim, ... Clinical Cancer Research 29 (6), 1077-1085, 2023 | 15 | 2023 |
| Radiomics Features of 18F-Fluorodeoxyglucose Positron-Emission Tomography as a Novel Prognostic Signature in Colorectal Cancer J Kang, JH Lee, HS Lee, ES Cho, EJ Park, SH Baik, KY Lee, C Park, ... Cancers 13 (3), 392, 2021 | 13 | 2021 |
| Integrated omics-analysis reveals Wnt-mediated NAD+ metabolic reprogramming in cancer stem-like cells J Lee, HJ Kee, S Min, KC Park, S Park, TH Hwang, GS Hwang, ... Oncotarget 7 (30), 48562, 2016 | 13 | 2016 |
| Max-margin embedding for multi-label learning S Park, S Choi Pattern Recognition Letters 34 (3), 292-298, 2013 | 13 | 2013 |
