Author

Yu-Jen Lin

University of California, BerkeleyORCID 0000-0002-0224-0281Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Arul S. MenoniD· 1 shared Steven E. BrenneriD· 1 shared Yaqi SuiD· 1 shared Zhiqiang HuiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Arul S. MenonORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 8, 2026

A fine-tuned genomic language model captures nucleotide-level information overlooked by missense variant impact predictors

Yaqi Su, Yu-Jen Lin

This study develops GLM-Missense, a genomic language model fine-tuned for missense variant impact prediction, showing it captures nucleotide-level effects missed by existing predictors.

DOI 10.64898/2026.05.06.723362

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 25, 2024

Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors

Yu-Jen Lin, Arul S. Menon, Zhiqiang Hu, Steven E. Brenner

VIPdb version 2 compiles 403 variant impact predictors, summarizing their features and usage trends over 25 years.

DOI 10.1101/2024.06.25.600283

whole-exome sequencingbenchmark study

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