| DeepFam: deep learning based alignment-free method for protein family modeling and prediction S Seo, M Oh, Y Park, S Kim Bioinformatics 34 (13), i254-i262, 2018 | 107 | 2018 |
| Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations M Oh, S Park, S Kim, H Chae Briefings in bioinformatics 22 (1), 66-76, 2021 | 36 | 2021 |
| Literature-based condition-specific miRNA-mRNA target prediction M Oh, S Rhee, JH Moon, H Chae, S Lee, J Kang, S Kim PloS one 12 (3), e0174999, 2017 | 31 | 2017 |
| miRTarVis+: Web-based interactive visual analytics tool for microRNA target predictions S L'Yi, D Jung, M Oh, B Kim, RJ Freishtat, M Giri, E Hoffman, J Seo Methods 124, 78-88, 2017 | 22 | 2017 |
| Adipocyte HIF2α functions as a thermostat via PKA Cα regulation in beige adipocytes JS Han, YG Jeon, M Oh, G Lee, H Nahmgoong, SM Han, J Choi, YY Kim, ... Nature Communications 13 (1), 3268, 2022 | 12 | 2022 |
| DRIM: a web-based system for investigating drug response at the molecular level by condition-specific multi-omics data integration M Oh, S Park, S Lee, D Lee, S Lim, D Jeong, K Jo, I Jung, S Kim Frontiers in Genetics 11, 564792, 2020 | 12 | 2020 |
| mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering H Kang, H Ahn, K Jo, M Oh, S Kim Bioinformatics 37 (11), 1544-1553, 2021 | 8 | 2021 |
| Construction of condition-specific gene regulatory network using kernel canonical correlation analysis D Jeong, S Lim, S Lee, M Oh, C Cho, H Seong, W Jung, S Kim Frontiers in Genetics 12, 652623, 2021 | 2 | 2021 |
| IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data H Ahn, I Jung, H Chae, M Oh, I Kim, S Kim 2021 IEEE International Conference on Big Data (Big Data), 2791-2800, 2021 | 1 | 2021 |
| TFNetPropX: A Web-Based Comprehensive Analysis Tool for Exploring Condition-Specific RNA-Seq Data Using Transcription Factor Network Propagation JH Moon, M Oh Applied Sciences 13 (20), 11399, 2023 | | 2023 |
| GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype D Jeong, B Koo, M Oh, TB Kim, S Kim Bioinformatics 39 (10), btad582, 2023 | | 2023 |
| BioVLAB-Cloud-based Bioinformatics Analysis Workbench S Seo, M Oh, I Jung, H Chae, S Kim Communications of the Korean Institute of Information Scientists and …, 2013 | | 2013 |
