Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
Current approaches to single-cell transcriptomic analysis are computationally intensive and require assay-specific modeling, which limits their scope and generality. We propose a novel method that compares and clusters cells based on their transcript-compatibility read counts rather than on the tran...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
BioMed Central
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881296/ |