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Experimental & Molecular Medicine|January 4, 2023
Endothelial senescence in vascular diseases: current understanding and future opportunities in senotherapeuticsYeaeun Han, Sung Young Kim
Frontiers in Pharmacology|March 30, 2012
Physiological antioxidative network of the bilirubin system in aging and age-related diseasesSung Young Kim, Sang Chul Park
Ageing Research Reviews|November 15, 2020
Endothelial cell senescence: A machine learning-based meta-analysis of transcriptomic studiesHyun Suk Park, Sung Young Kim
Journal of Cancer Research and Clinical Oncology|May 27, 2018
Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitorYoung Rae Kim, Sung Young Kim
Ageing Research Reviews|January 9, 2023
Transcriptional landscape of oncogene-induced senescence: a machine learning-based meta-analytic approachYeaeun Han, Gos Micklem, Sung Young Kim
International Journal of Oncology|August 28, 2012
Chronic treatment with ginsenoside Rg3 induces Akt-dependent senescence in human glioma cellsSeong Sin, Sung Young Kim, Sung Su Kim
Cancer Research and Treatment|August 11, 2018
Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning MethodYoung Rae Kim, Dongha Kim, Sung Young Kim
Critical Reviews in Eukaryotic Gene Expression|May 19, 2020
Gene Prioritization and Network Topology Analysis of Targeted Genes for Acquired Taxane Resistance by Meta-AnalysisDongha Kim, Young Seok Lee, Jin Ki Kim, et al.
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