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scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
Single-cell RNA sequencing has enabled the characterization of highly specific cell types in many tissues, as well as both primary and stem cell-derived cell lines. An important facet of these studies is the ability to identify the transcriptional signatures that define a cell type or state. In theo...
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| Gepubliceerd in: | Genome Biol |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6907144/ https://ncbi.nlm.nih.gov/pubmed/31829268 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1862-5 |
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