Fast and accurate single-cell RNA-Seq analysis by clustering of transcript-compatibility counts

March 8, 2016 Leave a comment 3,695 Views

Current approaches to single-cell transcriptomic analysis are computationally intensive and require assay-specific modeling which limit their scope and generality. Researchers from UC Berkely and Stanford University have developed a novel method that departs from standard analysis pipelines, comparing and clustering ...

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