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Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification
Single-cell RNA sequencing is a powerful technology for obtaining transcriptomes at single-cell resolutions. However, it suffers from dropout events (i.e., excess zero counts) since only a small fraction of transcripts get sequenced in each cell during the sequencing process. This inherent sparsity...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230610/ https://www.ncbi.nlm.nih.gov/pubmed/32244427 http://dx.doi.org/10.3390/genes11040377 |