Author

Younggwang Kim

Dankook UniversityORCID 0000-0002-8033-4232Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Dongmin JungiD· 1 shared Hui Kwon KimiD· 1 shared Jae Woo ChoiiD· 1 shared Jinman ParkiD· 1 shared Jung Yoon BaeiD· 1 shared Min Ki KimiD· 1 shared Sanghun LeeiD· 1 shared Seokjoong KimiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetics

Dongmin JungORCID

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2 papers

Recent·Most cited

A Comparative Genomic Analysis of Left- and Right-Sided Colon Cancer Using Real-World Data from the AACR Project GENIE BPC Dataset

Younggwang Kim, Min Ki Kim, Sanghun Lee

This study compares genomic features of left- and right-sided colon cancers using real-world data, finding significant differences in mutation burdens and survival outcomes.

American Journal of Cancer Research · Jan 1, 2025Peer-reviewedGenetic & Genomic Medicine

SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with unparalleled generalization performance

Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Seokjoong Kim

DeepSpCas9 predicts SpCas9 activity across 12,832 target sequences with high generalization performance using deep learning.

bioRxiv · May 15, 2019 · PreprintGenetics