Publications

  1. Sriram V§, Nam Y§, Shivakumar M, Verma A, Jung S-H, Lee SM*, Kim D*. A Network-Based Analysis of Disease Complication Associations for Obstetric Disorders in the UK Biobank. Journal of Personalized Medicine. 2021; 11(12):1382. https://doi.org/10.3390/jpm11121382

  2. Nam Y§, Jung S-H§, Verma A, Sriram V, Wong H-H, Yun J-S, Kim D*. netCRS: Network-based comorbidity risk score for prediction of myocardial infarction using biobank-scaled PheWAS data. Pacific Symposium on Biocomputing 2022. https://doi.org/10.1142/9789811250477_0030

  3. Sriram V§, Shivakumar M§, Jung S-H, Nam Y, Bang L, Verma A, Lee S, Choe EK, Kim D, NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results, GigaScience, Volume 11, 2022, giac002, https://doi.org/10.1093/gigascience/giac002

  4. Lee S§, Nam Y§, Choi ES, Jung YM, Sriram V, Leiby J, Koo JN, Oh IH, Kim BJ, Kim SM, Kim SY, Kim GM, Joo SK, Shin S, Norwitz E, Park CW, Jun JK, Kim W, Kim D*, Park JS*. Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning. Scientific Reports, 12(1), 15793, 2022. https://doi.org/10.1038/s41598-022-15391-4

  5. Nam Y§, Jung SH§, Yun JS, Verma A, Sriram V, Shin H, Won H*, Kim D*. Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinformatics 39(1), 2023. https://doi.org/10.1093/bioinformatics/btac822

  6. Woerner J§, Sriram V§, Nam Y, Verma A, Kim D*. Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network. Bioinformatics 40(3), 2024. https://doi.org/10.1093/bioinformatics/btae126.

  7. Sriram V, Conard AM, Rosenberg I, Kim D, Hall AK*. Accelerating precision medicine: a proposed framework for large-scale multiomic data integrity, interoperability, analysis, and collaboration in biomedical discovery. medRXiv. https://doi.org/10.1101/2024.03.15.24304358. Preprint.

  8. Nam Y§, Sriram V§, Shivakumar M, Verma A, Yun JS, Kim D*. An enhanced disease network with robust cross-phenotype relationships via variant frequency-inverse phenotype frequency. Preprint.

  9. Sriram V, Woerner J, Ahn YY*, Kim D*. The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank. Preprint.