Author

Yujin Kim

University of Oxford

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Biology Disciplines

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Genomics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Abhimanyu BanerjeeiD· 1 shared Aniketh Janardhan ReddyiD· 1 shared Emilie M. WigdoriD· 1 shared Grace Png· 1 shared Guo-Liang ChewiD· 1 shared Ibrahim Ihsan TaskiraniD· 1 shared Jeremy F. McRaeiD· 1 shared Jianbin CheniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Abhimanyu BanerjeeORCID

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1 paper

Recent·Most cited

A unified framework for quantitative splicing and transcript prediction

Kishore Jaganathan, Jianbin Chen, Xin Liu, Yan Zhang, Yujin Kim, Abhimanyu Banerjee, Petko P. Fiziev, Naomi Wilcox, Ibrahim Ihsan Taskiran, Yichao Cai, Emilie M. Wigdor, Guo-Liang Chew, Grace Png, Jeremy F. McRae, Aniketh Janardhan Reddy, , Kyle Kai‐How Farh

This paper introduces SpliceAI2, a deep learning model that improves identification and quantification of splice-altering variants and their effects on transcripts and disease.

bioRxiv · Oct 11, 2026 · PreprintGenomics