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Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
BACKGROUND: Neuroanatomical compartments of the mouse brain are identified and outlined mainly based on manual annotations of samples using features related to tissue and cellular morphology, taking advantage of publicly available reference atlases. However, this task is challenging since sliced tis...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574211/ https://www.ncbi.nlm.nih.gov/pubmed/33076915 http://dx.doi.org/10.1186/s12915-020-00874-5 |