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Using neural networks for reducing the dimensions of single-cell RNA-Seq data
While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has already led to several important studies and findings. However, this technology has also raised several new computational challenges. These include questions about the best methods for clustering sc...
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| Publicat a: | Nucleic Acids Res |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5737331/ https://ncbi.nlm.nih.gov/pubmed/28973464 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkx681 |
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