Author

Kaiyuan Xu

McGovern Institute for Brain ResearchORCID 0000-0001-5433-0652Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Guangshuo OuiD· 2 shared Zhengyang GuoiD· 2 shared Deyang ZhangiD· 1 shared Hui WangiD· 1 shared Jingwen HuangiD· 1 shared Jingyi KeiD· 1 shared Jinxiang ZhangiD· 1 shared Ming LiiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Guangshuo OuORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GeneticsbioRxivPreprintSep 29, 2025

A comprehensive functional landscape of α-tubulin TUBA1A variants illuminates microtubule biology and refines clinical classification

Kaiyuan Xu, Zhengyang Guo, Zihan Chen…·Guangshuo Ou

The paper systematically assesses the functional impact of all TUBA1A missense variants using experimental and computational methods, improving clinical variant classification.

DOI 10.1101/2025.09.29.679168

humanproteomics

BioinformaticsbioRxivPreprintFeb 7, 2025

SynSeg: Generating Synthetic Datasets for Accurate Subcellular Segmentation with U-net

Zhengyang Guo, Kaiyuan Xu, Zi Wang…·Guangshuo Ou

SynSeg generates synthetic datasets to train a U-net model for subcellular segmentation, outperforming traditional methods in vesicle and cytoskeletal filament detection.

DOI 10.1101/2025.02.07.637194

C. elegansimaging