Author

Tianran Yao

ORCID 0000-0002-6944-211XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Erkai LiuiD· 1 shared Gailing LiiD· 1 shared Gufeng WangiD· 1 shared Guoli Fu· 1 shared Huihua Xia· 1 shared Kuankuan Peng· 1 shared Luyang ZhaoiD· 1 shared Wei CheniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Erkai LiuORCID

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1 paper

Recent·Most cited

Multi-Dimensional Spatiotemporal Attention Neural Network for Next Generation Sequencing Basecalling

Kuankuan Peng, Wei Chen, Tianran Yao, Huihua Xia, Guoli Fu, Gailing Li, Yuanye Bao, Erkai Liu, Luyang Zhao, Gufeng Wang

This paper introduces AICall, a deep learning model that improves basecalling accuracy in NGS by using a spatiotemporal attention mechanism, achieving an error rate below 0.01%.

bioRxiv · Nov 6, 2025 · PreprintBioinformatics