Efficient Modularization of Weighted Protein Interaction Networks using k-Hop Graph Reduction. - Young-Rae Cho; Woochang Hwang; Aidong Zhang (BIBE, 2006)

Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach. - Young-Rae Cho; Woochang Hwang; Aidong Zhang (ICDM Workshops, 2006)

A novel functional module detection algorithm for protein-protein interaction networks. - Woochang Hwang; Young-Rae Cho; Aidong Zhang; Murali Ramanathan (Algorithms Mol. Biol., 2006)

Optimizing Flow-based Modularization by Iterative Centroid Search in Protein Interaction Networks. - Young-Rae Cho; Woochang Hwang; Aidong Zhang (BIBE, 2007)

SIGN: reliable protein interaction identification by integrating the Similarity In GO and the similarity in protein interaction Networks. - Woochang Hwang; Taehyong Kim; Young-Rae Cho; Aidong Zhang; Murali Ramanathan (BIBE, 2007)

Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations. - Young-Rae Cho; Woochang Hwang; Aidong Zhang (CIBCB, 2007)

Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration. - Young-Rae Cho; Woochang Hwang; Aidong Zhang (ICDM Workshops, 2007)

Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge. - Young-Rae Cho; Xian Xu 002; Woochang Hwang; Aidong Zhang (ICMLA, 2007)

Semantic integration to identify overlapping functional modules in protein interaction networks. - Young-Rae Cho; Woochang Hwang; Murali Ramanathan; Aidong Zhang (BMC Bioinform., 2007)

A fast two-pass HDL simulation with on-demand dump. - Kyuho Shim; Young-Rae Cho; Namdo Kim; Hyuncheol Baik; Kyungkuk Kim; Dusung Kim; Jaebum Kim; Byeongun Min; Kyumyung Choi; Maciej J. Ciesielski; Seiyang Yang (ASP-DAC, 2008)

Discovering Frequent Patterns of Functional Associations in Protein Interaction Networks for Function Prediction. - Young-Rae Cho; Aidong Zhang (BIBM, 2008)

A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge. - Young-Rae Cho; Lei Shi 021; Murali Ramanathan; Aidong Zhang (BMC Bioinform., 2008)

Functional module detection by functional flow pattern mining in protein interaction networks. - Young-Rae Cho; Lei Shi 021; Aidong Zhang (BMC Bioinform., 2008)

CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions. - Woochang Hwang; Young-Rae Cho; Aidong Zhang; Murali Ramanathan (BMC Bioinform., 2008)

Restructuring Protein Interaction Networks to Reveal Structural Hubs and Functional Organizations. - Young-Rae Cho; Aidong Zhang (BIBM, 2009)

Mining of Attribute Interactions Using Information Theoretic Metrics. - Pritam Chanda; Young-Rae Cho; Aidong Zhang; Murali Ramanathan (ICDM Workshops, 2009)

flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks. - Young-Rae Cho; Lei Shi 021; Aidong Zhang (ICDM, 2009)

ANN Based Protein Function Prediction Using Integrated Protein-Protein Interaction Data. - Lei Shi 021; Young-Rae Cho; Aidong Zhang (IJCBS, 2009)

Semantic similarity based feature extraction from microarray expression data. - Young-Rae Cho; Aidong Zhang; Xian Xu 002 (Int. J. Data Min. Bioinform., 2009)

Functional Influence-Based Approach to Identify Overlapping Modules in Biological Networks. - Young-Rae Cho; Aidong Zhang (Link Mining, 2010)

Topological analysis of structural roles of proteins in interactome networks. - Young-Rae Cho (BCB, 2010)

Functional Flow Simulation Based Analysis of Protein Interaction Network. - Lei Shi 021; Young-Rae Cho; Aidong Zhang (BIBE, 2010)

Decomposing protein interactome networks by graph entropy. - Hao Lian; Chengsen Song; Young-Rae Cho (BIBM, 2010)

Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins. - Young-Rae Cho; Aidong Zhang (BMC Bioinform., 2010)

Mining Protein Interactome Networks to Measure Interaction Reliability and Select Hub Proteins. - Young-Rae Cho; Aidong Zhang (Int. J. Knowl. Discov. Bioinform., 2010)

Predicting protein function by frequent functional association pattern mining in protein interaction networks. - Young-Rae Cho; Aidong Zhang (IEEE Trans. Inf. Technol. Biomed., 2010)

Differentiating party and date hubs in protein interaction networks using semantic similarity measures. - Edward Casey Kenley; Lyles Kirk; Young-Rae Cho (BCB, 2011)

Assessment of Cluster Overlaps to Improve Accuracy of Module Detection from PPI Networks. - Nicholas Soltau; Young-Rae Cho (BIBM, 2011)

Entropy-Based Graph Clustering: Application to Biological and Social Networks. - Edward Casey Kenley; Young-Rae Cho (ICDM, 2011)

M-Finder: Functional association mining from protein interaction networks weighted by semantic similarity. - Young-Rae Cho; Tak Chien Chiam; Yanxin Lu (BIBM, 2012)

Improvements of graph entropy approach to detect protein complexes by ontological analysis of PPIs. - Francisco I. Pena; Young-Rae Cho (BIBM Workshops, 2012)

Assessing reliability of protein-protein interactions by gene ontology integration. - George D. Montañez; Young-Rae Cho (CIBCB, 2012)

How to automate millions lines of top-level UVM testbench and handle huge register classes. - Namdo Kim; Young-Nam Yun; Young-Rae Cho; Jay B. Kim; Byeong Min (ISOCC, 2012)

Signaling pathway prediction by path frequency in protein-protein interaction networks. - Yilan Bai; Greg Speegle; Young-Rae Cho (BIBM, 2013)

Prediction of signaling networks by information propagation on protein-protein interaction networks integrated with GO annotations. - Young-Rae Cho; Slávka Jaromerská (BIBM, 2013)

Distance-Wise pathway Discovery from protein-protein Interaction Networks Weighted by Semantic Similarity. - Slávka Jaromerská; Petr Praus; Young-Rae Cho (J. Bioinform. Comput. Biol., 2014)

An integrative measure of graph- and vector-based semantic similarity using information content distance. - Qiaoli Hu; Young-Rae Cho (BIBM, 2015)

Semantic mapping to align PPI networks and predict conserved protein complexes. - Lizhu Ma; Young-Rae Cho (BIBM, 2015)

P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO Annotations. - Young-Rae Cho; Yanan Xin; Greg Speegle (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Filtering association rules in Gene Ontology based on term specificity. - Yong Shui; Young-Rae Cho (BIBM, 2016)

Mining cross-ontology weighted association rules between GO and HPO. - Joseph Huang; Collin Rapp; Young-Rae Cho (BIBM, 2017)

Multistage fusion and dissimilarity regularization for deep learning. - Young-Rae Cho; Seung-Jun Shin; Sung-Hyuk Yim; Hyun-Woong Cho; Woo-Jin Song (MFI, 2017)

Evaluating the contributions of GO term properties to semantic similarity measurement. - Ján Sládek; Young-Rae Cho (Int. J. Data Min. Bioinform., 2017)

Image Matting for Automatic Target Recognition. - Hyun-Woong Cho; Young-Rae Cho; Woo-Jin Song; Byoung-Kwang Kim (IEEE Trans. Aerosp. Electron. Syst., 2017)

PrimAlign: PageRank-inspired Markovian alignment for large biological networks. - Karel Kalecky; Young-Rae Cho (Bioinform., 2018)

Survey of biological network alignment: cross-species analysis of conserved systems. - Sawal Maskey; Young-Rae Cho (BIBM, 2019)

Multistage Fusion With Dissimilarity Regularization for SAR/IR Target Recognition. - Young-Rae Cho; Seung-Jun Shin; Sung-Hyuk Yim; Kyeongbo Kong; Hyun-Woong Cho; Woo-Jin Song (IEEE Access, 2019)

Survey of network-based approaches of drug-target interaction prediction. - Lee Soo Jung; Young-Rae Cho (BIBM, 2020)

Deep Complex-Valued Network for Ego-Velocity Estimation with Millimeter-Wave Radar. - Hyun-Woong Cho; Sungdo Choi; Young-Rae Cho; Jongseok Kim (IEEE SENSORS, 2020)

Penalized log-density estimation using Legendre polynomials. - Jung-Jun Lee; Jae-Hwan Jhong; Young-Rae Cho; Sunghwan Kim 003; Ja-Yong Koo (Commun. Stat. Simul. Comput., 2020)

Evaluation of cross-ontology association rules weighted by term specificity. - Young-Rae Cho (Int. J. Data Min. Bioinform., 2020)

Complex-Valued Channel Attention and Application in Ego-Velocity Estimation With Automotive Radar. - Hyun-Woong Cho; Sungdo Choi; Young-Rae Cho; Jongseok Kim (IEEE Access, 2021)

Mitigating Memorization in Sample Selection for Learning with Noisy Labels. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Young-Rae Cho; Seong-Eun Kim; Woo-Jin Song (CoRR, 2021)

Entropy-Based Graph Clustering of PPI Networks for Predicting Overlapping Functional Modules of Proteins. - Hoyeon Jeong; Yoonbee Kim; Yi-Sue Jung; Dae Ryong Kang; Young-Rae Cho (Entropy, 2021)

Penalty based robust learning with noisy labels. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Young-Rae Cho; Seong-Eun Kim; Woo-Jin Song (Neurocomputing, 2022)

Mitigating Oversmoothing in Hypergraph Neural Networks for Enhanced Cancer-Driver Gene Prediction. - Sang-Pil Cho; Young-Rae Cho (BIBM, 2024)

Comparative Evaluation and Data Analysis for Drug Toxicity Prediction. - Jae-Woo Chu; Young-Rae Cho (BIBM, 2024)

Computational Disease-Gene Association Prioritization Using Graph Neural Networks and Attention Mechanisms. - Jong-Hoon Park; Young-Rae Cho (BIBM, 2024)

Comparative Analysis of Attention-based Models for Drug-Target Interaction Prediction. - Gwang-Hyeon Yun; Young-Rae Cho (BIBM, 2024)

Development of AI-Based Diagnostic Systems for Wound Images. - Seoyeon Jeong; Jaeho Kim; Kyusung Choi; Young-Rae Cho (ICTC, 2024)

Weighted Sparse Convolution and Transformer Feature Aggregation Networks for 3D Dental Segmentation. - Jung Su Ahn; Young-Rae Cho (IEEE Access, 2024)

Explainable Feature-Injected Diffusion Model for Medical Image Translation. - Jung Su Ahn; Ki Hoon Kwak; Young-Rae Cho (IEEE Access, 2025)

Draw+: network-based computational drug repositioning with attention walking and noise filtering. - Jong-Hoon Park; Young-Rae Cho (Health Inf. Sci. Syst., 2025)