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Scientific Reports|March 15, 2024
Identifying microRNAs associated with tumor immunotherapy response using an interpretable machine learning modelDong-Yeon Nam, Je-Keun RheeBiology|May 28, 2022
Assessment of MicroRNAs Associated with Tumor Purity by Random Forest RegressionDong-Yeon Nam, Je-Keun RheeClinical and Experimental Medicine|October 25, 2025
Ligand-receptor interaction profiling as a predictive biomarker for anti-PD-1 therapy response in melanomaSe Yeon Seo, Dong-Yeon Nam, Hyun Ji Lee, et al.Genes & Genomics|April 2, 2023
Distinct cellular composition between normal surgical margins and tumor tissues in oral squamous cell carcinomaJe-Keun RheeBriefings in Bioinformatics|May 6, 2021
Prediction of tumor purity from gene expression data using machine learningBonil Koo, Je-Keun RheeBiology|October 27, 2022
Genomic Effect of DNA Methylation on Gene Expression in Colorectal CancerJuyeon Hong, Je-Keun RheeBiology|October 25, 2024
Integrative Analysis of ATAC-Seq and RNA-Seq through Machine Learning Identifies 10 Signature Genes for Breast Cancer Intrinsic SubtypesJeong-Woon Park, Je-Keun RheeBMC Medical Genomics|April 27, 2018
Population-based statistical inference for temporal sequence of somatic mutations in cancer genomesJe-Keun Rhee, Tae-Min KimBioinformatics (Oxford, England)|July 15, 2025
TCR-epiDiff: solving dual challenges of TCR generation and binding predictionSe Yeon Seo, Je-Keun RheeBMB Reports|March 9, 2025
Unraveling the three-dimensional genome structure using machine learningJiho Lee, Hye-Lim Mo, Yoon Ha, et al.Pageof 5