Author

Dong In Kim

ORCID 0009-0004-8530-6291Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Seokjin HaniD· 1 shared Seong-Hyeuk Nam· 1 shared Tae Yong KimiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Seokjin HanORCID

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1 paper

Recent·Most cited

Learning the Relationship Between Variants, Metabolic Fluxes and Phenotypes

Dong In Kim, Seokjin Han, Seong-Hyeuk Nam, Tae Yong Kim

VaMP integrates neural networks and metabolic models to link genetic variants with cancer phenotypes, identifying significant genes and metabolic signatures across five cancer types.

bioRxiv · Mar 4, 2024 · PreprintBioinformatics