Author

Jae‐Seung Yun

The Catholic University of Korea St. Vincent's HospitalORCID 0000-0001-5949-1826Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Anurag VermaiD· 1 shared Dokyoon KimiD· 1 shared Hong‐Hee WoniD· 1 shared Sang‐Hyuk JungiD· 1 shared Vivek SriramiD· 1 shared Yonghyun NamiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Anurag VermaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 12, 2021

netCRS: Network-based comorbidity risk score for prediction of myocardial infarction using biobank-scaled PheWAS data

Yonghyun Nam, Sang‐Hyuk Jung, Anurag Verma…·Dokyoon Kim

This paper introduces netCRS, a network-based comorbidity risk score that improves myocardial infarction prediction using PheWAS data, achieving better AUC than traditional PRS methods.

1 citation

humanGWAS summary statistics

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