Author

Ai-Te Kuo

Auburn UniversityORCID 0000-0002-4206-370XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1 Organism:yeast· 1

Frequent Co-Authors

Hao CheniD· 1 shared Wei‐Shinn KuiD· 1 shared Zongliang YueiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Hao ChenORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 7, 2026

RiboRep: Replicate-Aware Cross-Modal Transformers for Codon-Resolved Ribosome Density Prediction

Ai-Te Kuo, Zongliang Yue, Wei‐Shinn Ku, Hao Chen

RiboRep predicts codon-resolved ribosome density by integrating RNA sequences and ribosome occupancy signals using a cross-modal transformer framework, achieving strong performance across multiple species.

DOI 10.64898/2026.08.03.742524

bacteria (other)yeast