Author

Seokjin Han

ORCID 0000-0002-1551-0658Unclaimed 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

Dong In KimiD· 1 shared Seong-Hyeuk Nam· 1 shared Tae Yong KimiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Dong In KimORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 4, 2024

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.

DOI 10.1101/2024.03.04.577140

humanwhole-exome sequencing

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