Semi-automated annotation refinement accelerates cell type identification in brain spatial and single-cell studies
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Acri, D. J., Mustaklem, R., Horan-Portelance, L., Dabin, L. C., Park, J. H., Hartigan, K. A., Kersey, H. N., Mesecar, M. E., Gibbs, J. R., Cookson, M. R., et al. (2026) · bioRxiv · doi:10.64898/2026.07.30.741795
Self-citation
- Authors
- Acri, D.
- Affiliations
- National Institute on Aging (US)
- Corresponding author
- Acri, Dominic
- ORCID
- Acri, Dominic
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2026-06-14
- OpenAlex
- W7164757629
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- Type
- posted content
- Open access
- green
- doi.org
- Licence
- Locations
- Zenodo (CERN European Organization for Nuclear Research) (cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- annotation refinement, cell type annotation, brain, spatial transcriptomics, single-cell RNA sequencing, semi-automatic annotation, neuroanatomy
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