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A web server for comparative analysis of single-cell RNA-seq data
Single cell RNA-Seq (scRNA-seq) studies profile thousands of cells in heterogeneous environments. Current methods for characterizing cells perform unsupervised analysis followed by assignment using a small set of known marker genes. Such approaches are limited to a few, well characterized cell types...
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| I publikationen: | Nat Commun |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Nature Publishing Group UK
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6233170/ https://ncbi.nlm.nih.gov/pubmed/30425249 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-07165-2 |
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