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Cross-species cell-type assignment from single-cell RNA-seq data by a heterogeneous graph neural network
Cross-species comparative analyses of single-cell RNA sequencing (scRNA-seq) data allow us to explore, at single-cell resolution, the origins of the cellular diversity and evolutionary mechanisms that shape cellular form and function. Cell-type assignment is a crucial step to achieve that. However,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977153/ https://www.ncbi.nlm.nih.gov/pubmed/36526433 http://dx.doi.org/10.1101/gr.276868.122 |