Author

Guo-Liang Chew

Fred Hutch Cancer CenterORCID 0000-0003-4357-1404Unclaimed ORCID profile · follow to get notified of new preprints

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Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Research Focus:benchmarking· 2 Assay:DNA methylation· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:yeast· 2 Approach:deep learning· 1

Frequent Co-Authors

Jingyi Jessica LiiD· 2 shared Mark D. BigginiD· 2 shared Abhimanyu BanerjeeiD· 1 shared Aniketh Janardhan ReddyiD· 1 shared Emilie M. WigdoriD· 1 shared Grace Png· 1 shared Ibrahim Ihsan TaskiraniD· 1 shared Jeremy F. McRaeiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Jingyi Jessica LiORCID

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3 papers

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

Quantitative Principles of cis-translational control by general mRNA sequence features in eukaryotes

Jingyi Jessica Li, Guo-Liang Chew, Mark D. Biggin

The paper quantifies how general mRNA sequence features control translation rates across eukaryotes and identifies key structural and compositional elements involved.

Genome biology · Aug 9, 2019Peer-reviewedGenomics

Quantitating Translational Control: mRNA Abundance-Dependent and Independent Contributions and the mRNA Sequences That Specify Them

Jingyi Jessica Li, Guo-Liang Chew, Mark D. Biggin

The paper decomposes translation rate into mRNA-dependent and independent components, showing their distinct sequence determinants and impacts on protein expression in S. cerevisiae.

Nucleic Acids Research · Sep 25, 2017Peer-reviewedGenomics