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SPECK: an unsupervised learning approach for cell surface receptor abundance estimation for single-cell RNA-sequencing data
SUMMARY: The rapid development of single-cell transcriptomics has revolutionized the study of complex tissues. Single-cell RNA-sequencing (scRNA-seq) can profile tens-of-thousands of dissociated cells from a tissue sample, enabling researchers to identify cell types, phenotypes and interactions that...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290233/ https://www.ncbi.nlm.nih.gov/pubmed/37359727 http://dx.doi.org/10.1093/bioadv/vbad073 |