| DeepFam: deep learning based alignment-free method for protein family modeling and prediction S Seo, M Oh, Y Park, S Kim Bioinformatics 34 (13), i254-i262, 2018 | 107 | 2018 |
| Measuring intratumor heterogeneity by network entropy using RNA-seq data Y Park, S Lim, JW Nam, S Kim Scientific reports 6 (1), 37767, 2016 | 57 | 2016 |
| Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches D Lee, Y Park, S Kim Briefings in bioinformatics 22 (3), bbaa188, 2021 | 27 | 2021 |
| Protein interaction network (pin)-based breast cancer subsystem identification and activation measurement for prognostic modeling S Lim, Y Park, B Hur, M Kim, W Han, S Kim Methods 110, 81-89, 2016 | 22 | 2016 |
| MIDAS: mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data S Lee, Y Park, S Kim Methods 124, 13-24, 2017 | 19 | 2017 |
| Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing Y Park, AC Hauschild, D Heider NAR genomics and bioinformatics 3 (4), lqab104, 2021 | 13 | 2021 |
| Integrative analysis of next-generation sequencing for next-generation cancer research toward artificial intelligence Y Park, D Heider, AC Hauschild Cancers 13 (13), 3148, 2021 | 13 | 2021 |
| On the importance of data transformation for data integration in single-cell RNA sequencing analysis Y Park, AC Hauschild bioRxiv, 2022 | 1 | 2022 |
| Flow maximization analysis of cell cycle pathway activation status in breast cancer subtypes S Lee, JH Moon, Y Park, S Kim 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 1 | 2017 |
| Species-agnostic transfer learning for cross-species transcriptomics data integration without gene orthology Y Park, NP Muttray, AC Hauschild Briefings in Bioinformatics 25 (2), bbae004, 2024 | | 2024 |
| Framework for Federated Artificial Intelligence for the Optimization of Pancreatic Cancer Treatment Y Park, J Hügel, N Beyer, S Rheinländer, H Chereda, L Fricke, ... 68. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik …, 2023 | | 2023 |
| Potential Applications of Transfer Learning in Limited Biomedical Data Y Park, AC Hauschild, D Heider 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik …, 2022 | | 2022 |
Sun KimProfessor, Seoul National University; President, Mogam Institute for Biomedicalsnu.ac.kr의 이메일 확인됨
