Author

Jiachen Ye

Peking UniversityORCID 0009-0001-5880-3418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Research Focus:software / tool· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Qinghua CuiiD· 2 shared Chunmei CuiiD· 1 shared Rui FaniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Qinghua CuiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 6, 2026

ASTRA enables zero-shot super-resolution of spatial transcriptomics across capture geometries

Jiachen Ye, Qinghua Cui

ASTRA enables zero-shot super-resolution of spatial transcriptomics across different capture geometries, improving accuracy and efficiency compared to existing methods.

DOI 10.64898/2026.09.30.755663

humanspatial transcriptomics

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintApr 14, 2024

Estimating the selection pressure and evolutionary rate of proteins on the non-neutral hypothesis of synonymous mutations

Jiachen Ye, Chunmei Cui, Rui Fan, Qinghua Cui

The paper introduces an improved Ka/Ks ratio (iKa/Ks) that accounts for the non-neutral effects of synonymous mutations on miRNA regulation, showing better performance in detecting selection pressures than the conventional Ka/Ks ratio.

1 citation

statistical model

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