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A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identification
BACKGROUND: The advent of single cell RNA sequencing (scRNA-seq) enabled researchers to study transcriptomic activity within individual cells and identify inherent cell types in the sample. Although numerous computational tools have been developed to analyze single cell transcriptomes, there are no...
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| I publikationen: | BMC Bioinformatics |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6551246/ https://ncbi.nlm.nih.gov/pubmed/31167661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2817-2 |
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