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Scalable analysis of cell type composition from single-cell transcriptomics using deep recurrent learning
Recent advances in large-scale single cell RNA-seq enable fine-grained characterization of phenotypically distinct cellular states within heterogeneous tissues. We present scScope, a scalable deep-learning based approach that can accurately and rapidly identify cell-type composition from millions of...
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| Publicado no: | Nat Methods |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6774994/ https://ncbi.nlm.nih.gov/pubmed/30886411 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-019-0353-7 |
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