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Cancer Discovery|January 18, 2024
Cancer Mutations Converge on a Collection of Protein Assemblies to Predict Resistance to Replication StressXiaoyu Zhao, Akshat Singhal, Sungjoon Park, et al.Oral Diseases|March 26, 2019
Exomic and transcriptomic alterations of hereditary gingival fibromatosisSeong Kyu Han, Jungho Kong, Sanguk Kim, et al.Nucleic Acids Research|June 15, 2019
Evolutionary coupling analysis identifies the impact of disease-associated variants at less-conserved sitesDonghyo Kim, Seong Kyu Han, Kwanghwan Lee, et al.Scientific Reports|January 16, 2020
Domain-mediated interactions for protein subfamily identificationHeetak Lee, Inhae Kim, Seong Kyu Han, et al.Nucleic Acids Research|February 9, 2022
Evolutionary rewiring of regulatory networks contributes to phenotypic differences between human and mouse orthologous genesDoyeon Ha, Donghyo Kim, Inhae Kim, et al.Nature Communications|October 31, 2020
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patientsJungHo Kong, Heetak Lee, Donghyo Kim, et al.Nature Communications|June 28, 2022
Network-based machine learning approach to predict immunotherapy response in cancer patientsJungHo Kong, Doyeon Ha, Juhun Lee, et al.BMB Reports|October 26, 2022
Development of bioinformatics and multi-omics analyses in organoidsDoyeon Ha, JungHo Kong, Donghyo Kim, et al.Science Advances|January 31, 2024
Cell-cell communication network-based interpretable machine learning predicts cancer patient response to immune checkpoint inhibitorsJuhun Lee, Donghyo Kim, JungHo Kong, et al.Biorxiv : the Preprint Server for Biology|January 31, 2024
Integrated germline and somatic features reveal divergent immune pathways driving ICB responseTimothy Sears, Meghana Pagadala, Andrea Castro, et al.Pageof 2