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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737331/ https://www.ncbi.nlm.nih.gov/pubmed/28973464 http://dx.doi.org/10.1093/nar/gkx681 |