Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data Y Nam, SH Jung, JS Yun, V Sriram, P Singhal, M Byrska-Bishop, A Verma, ... Bioinformatics 39 (1), btac822, 2023 | 5 | 2023 |
netCRS: network-based comorbidity risk score for prediction of myocardial infarction using biobank-scaled PheWAS data Y Nam, SH Jung, A Verma, V Sriram, HH Won, JS Yun, RG Center, D Kim Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 27, 325, 2022 | 5 | 2022 |
Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning SM Lee, Y Nam, ES Choi, YM Jung, V Sriram, JS Leiby, JN Koo, IH Oh, ... Scientific Reports 12 (1), 15793, 2022 | 4 | 2022 |
A Network-Based Analysis of Disease Complication Associations for Obstetric Disorders in the UK Biobank V Sriram, Y Nam, M Shivakumar, A Verma, SH Jung, SM Lee, D Kim Journal of Personalized Medicine 11 (12), 1382, 2021 | 4 | 2021 |
NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results V Sriram, M Shivakumar, SH Jung, Y Nam, L Bang, A Verma, S Lee, ... GigaScience 11, giac002, 2022 | 3 | 2022 |
Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network J Woerner, V Sriram, Y Nam, A Verma, D Kim Bioinformatics 40 (3), btae126, 2024 | | 2024 |
Accelerating precision medicine: a proposed framework for large-scale multiomics data integrity, interoperability, analysis, and collaboration in biomedical discovery V Sriram, AM Conard, I Rosenberg, D Kim, A Hall medRxiv, 2024.03. 15.24304358, 2024 | | 2024 |