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Youngjun Park
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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
1232018
Measuring intratumor heterogeneity by network entropy using RNA-seq data
Y Park, S Lim, JW Nam, S Kim
Scientific reports 6 (1), 37767, 2016
622016
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
302021
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
242021
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
232016
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
212017
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
152021
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
42024
The effect of data transformation on low-dimensional integration of single-cell RNA-seq
Y Park, AC Hauschild
BMC bioinformatics 25 (1), 171, 2024
3*2024
Federated Random Forest for Partially Overlapping Clinical Data
Y Park, CE Schmidt, BM Batton, AC Hauschild
arXiv preprint arXiv:2405.20738, 2024
12024
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
12017
Effect of Data Heterogeneity in Clinical MALDI-TOF Mass Spectra Profiles on Direct Antimicrobial Resistance Prediction through Machine Learning
Y Park, M Weig, C Noll, O Bader, AC Hauschild
bioRxiv, 2024.10. 18.617592, 2024
2024
Machine Learning-based Approaches to Integrate Heterogeneous Data for Biological Knowledge Transfer
Y Park
Georg-August-Universität Göttingen, 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
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Articles 1–15