Author

Shuyi Deng

Sun Yat-sen University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:deep learning· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Cai LiiD· 2 shared Hui SongiD· 1 shared Yiyuan FangiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersGenomics

Cai LiORCID

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2 papers

Recent·Most cited

A deep learning framework for building INDEL mutation rate maps

Shuyi Deng, Hui Song, Cai Li

MuRaL-indel predicts germline INDEL mutation rates using deep learning, achieving high accuracy and broad applicability across species and genomic scales.

bioRxiv · Nov 18, 2025 · PreprintGenomics

A generalizable deep learning framework for inferring fine-scale germline mutation rate maps

Yiyuan Fang, Shuyi Deng, Cai Li

MuRaL, a two-module neural network using only DNA sequence, estimates nucleotide-level germline substitution rates, outperforming k-mer and feature-based human models at fine regional scales.

Nature Machine Intelligence · Dec 8, 2022Peer-reviewedEvolutionary Biology✦ In-depth digest