| RDDpred: a condition-specific RNA-editing prediction model from RNA-seq data M Kim, B Hur, S Kim BMC genomics 17, 85-95, 2016 | 39 | 2016 |
| Protein interaction network (pin)-based breast cancer subsystem identification and activation measurement for prognostic modeling S Lim, Y Park, B Hur, M Kim, W Han, S Kim Methods 110, 81-89, 2016 | 23 | 2016 |
| MONTI: a multi-omics non-negative tensor decomposition framework for gene-level integrative analysis I Jung, M Kim, S Rhee, S Lim, S Kim Frontiers in genetics 12, 682841, 2021 | 20 | 2021 |
| SpliceHetero: an information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq M Kim, S Lee, S Lim, S Kim PLoS One 14 (10), e0223520, 2019 | 11 | 2019 |
| Development and validation of a next-generation sequencing–based multigene assay to predict the prognosis of estrogen receptor–positive, her2-negative breast cancer HB Lee, SB Lee, M Kim, S Kwon, J Jo, J Kim, HJ Lee, HS Ryu, JW Lee, ... Clinical Cancer Research 26 (24), 6513-6522, 2020 | 10 | 2020 |
| Logic-based analysis of gene expression data predicts association between TNF, TGFB1 and EGF pathways in basal-like breast cancer K Jo, B Santos-Buitrago, M Kim, S Rhee, C Talcott, S Kim Methods 179, 89-100, 2020 | 6 | 2020 |
| Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cancer M Kim, S Lee, S Lim, DY Lee, S Kim Scientific reports 11 (1), 23992, 2021 | 4 | 2021 |
| A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side S Park, M Kim, S Seo, S Hong, K Han, K Lee, JH Cheon, S Kim BMC genomics 20, 163-174, 2019 | 4 | 2019 |
| A knowledge network-based approach to facilitate annotation of clinical pathway component clusters SMS Hasan, M Kim, BH Park, MM Jones, M Ward, J Nebeker 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 2 | 2021 |
| Logic-based analysis of gene expression data predicts pathway crosstalk between TNF, TGFB1 and EGF in basal-like breast cancer K Jo, BS Buitrago, M Kim, S Rhee, C Talcott, S Kim bioRxiv, 614933, 2019 | 2 | 2019 |
| Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms J Park, B Hur, S Rhee, S Lim, MS Kim, K Kim, W Han, S Kim Journal of bioinformatics and computational biology 14 (05), 1644002, 2016 | 2 | 2016 |
| A framework for inferring and analyzing pharmacotherapy treatment patterns E Rush, O Ozmen, M Kim, ER Ortegon, M Jones, BH Park, S Pizer, ... BMC Medical Informatics and Decision Making 24 (1), 68, 2024 | 1 | 2024 |
| Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks M Kim, JE Huffman, A Justice, I Goethert, G Agasthya, I Danciu BMC Medical Genomics 15 (1), 1-10, 2022 | 1 | 2022 |
| CPViz: Visualizing clinical pathways represented in higher-order networks J Chae, BH Park, M Kim, E Rush, O Ozmen, M Jones, M Ward, ... Electronic Imaging 35, 1-8, 2023 | | 2023 |
| Machine learning techniques for decoding and utilizing high throughput RNA sequencing data 김민수 서울대학교 대학원, 2019 | | 2019 |
| Data-Driven Inference of Clinical Pathway Components for Identifying Basic Care Patterns from Electronic Health Records M Kim, BH Park, O Ozmen, E Rush, J Chae, MM Jones, RW Rupper, ... | | |
Sun KimProfessor, Seoul National University; CTO, AIGENDRUG Co. Ltd.Verified email at snu.ac.kr
