Author

Kai Chen

Allen Institute for Brain ScienceORCID 0009-0008-9768-7764Unclaimed ORCID profile · follow to get notified of new preprints

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Kai Chen2 papers · Mayo Clinic

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:dimensionality reduction· 2 Approach:machine learning (classical)· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Assay:scRNA-seq· 1

Frequent Co-Authors

Anan LiiD· 2 shared Colin FarrelliD· 2 shared Hsien-Chi KuoiD· 2 shared Laila El-HifnawiiD· 2 shared Lauren KruseiD· 2 shared Leila AhmadiniaiD· 2 shared Luke EspositoiD· 2 shared Matthew MalloryiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Anan LiORCID

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2 papers

Recent·Most cited

NeuroscienceNaturePeer-reviewedJul 1, 2026

Connecting single neuron transcriptomes to the projectome in mouse visual cortex

Staci A. Sorensen, Nathan W. Gouwens, Yun Wang…·Adrian Andreas Wanner

The paper integrates transcriptomic, morphological, and electrophysiological data to define neuron types in mouse visual cortex and predict their projection targets.

15 citationstop 1%

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NeurosciencebioRxivPreprintMay 8, 2025

Integrated Classification of Cortical Cells and Quantitative Projectomic Mapping Unveil Organizational Principles of Brain-Wide Connectomes at Single Cell Level

Yun Wang, Hsien-Chi Kuo, Xiuli Kuang…·Staci A. Sorensen

This study integrates molecular and morphological data to classify cortical neurons and map their connectomes, revealing organizational principles of brain-wide networks at the single-cell level.

DOI 10.1101/2025.05.08.652699

mousespatial transcriptomics

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