Nature MethodsBioinformaticsPeer-reviewed journal article
Identification of transcriptional signatures for cell types from single-cell RNA-Seq
Vasilis NtranosiD, Lynn YiiD, Páll MelstediD, Lior S. PachteriD
Abstract
Single-cell RNA-Seq makes it possible to characterize the transcriptomes of cell types and identify their transcriptional signatures via differential analysis. We present a fast and accurate method for discriminating cell types that takes advantage of the large numbers of cells that are assayed. When applied to transcript compatibility counts obtained via pseudoalignment, our approach provides a quantification-free analysis of 3 single-cell RNA-Seq that can identify previously undetectable marker genes.
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 157
- FWCI
- 7.03
- Field percentile
- top 2%
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