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Scientific Reports|May 2, 2024
Computational drug repositioning with attention walkingJong-Hoon Park, Young-Rae ChoBioinformatics (Oxford, England)|July 7, 2026
EPIC: Event Prototyping via Information Constrained graph learning for personalized cancer driver gene predictionSang-Pil Cho, Young-Rae ChoArtificial Intelligence in Medicine|July 18, 2026
ORBIT: Oncogenic Representation Learning via Bi-Prototype Contrastive Learning in Hyperbolic Space for cancer driver gene identificationSang-Pil Cho, Young-Rae ChoInternational Journal of Data Mining and Bioinformatics|July 24, 2009
Semantic similarity based feature extraction from microarray expression dataYoung-Rae Cho, Aidong Zhang, Xian XuJournal of Bioinformatics and Computational Biology|January 29, 2014
Distance-wise pathway discovery from protein-protein interaction networks weighted by semantic similaritySlavka Jaromerska, Petr Praus, Young-Rae ChoIEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO AnnotationsYoung-Rae Cho, Yanan Xin, Greg SpeegleMethods (San Diego, Calif.)|November 5, 2021
Comparative analysis of network-based approaches and machine learning algorithms for predicting drug-target interactionsYi-Sue Jung, Yoonbee Kim, Young-Rae ChoInternational Journal of Molecular Sciences|July 9, 2022
Network-Based Approaches for Disease-Gene Association Prediction Using Protein-Protein Interaction NetworksYoonbee Kim, Jong-Hoon Park, Young-Rae ChoInterdisciplinary Sciences, Computational Life Sciences|December 6, 2013
Survey: Enhancing protein complex prediction in PPI networks with GO similarity weightingTrue Price, Francisco I Peña, Young-Rae ChoBMC Bioinformatics|September 20, 2008
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledgeYoung-Rae Cho, Lei Shi, Murali Ramanathan, et al.Pageof 6