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 | 109 | 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 | 60 | 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 | 23 | 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 |
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 | 15 | 2021 |
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 |
On the importance of data transformation for data integration in single-cell RNA sequencing analysis Y Park, AC Hauschild bioRxiv, 2022 | 2 | 2022 |
The effect of data transformation on low-dimensional integration of single-cell RNA-seq Y Park, AC Hauschild BMC bioinformatics 25 (1), 171, 2024 | 1 | 2024 |
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 |
Machine Learning-based Approaches to Integrate Heterogeneous Data for Biological Knowledge Transfer Y Park | | 2024 |
Federated Random Forest for Partially Overlapping Clinical Data Y Park, CE Schmidt, BM Batton, AC Hauschild arXiv preprint arXiv:2405.20738, 2024 | | 2024 |
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 |