Published November 1, 2018
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Identification of transcriptional signatures for cell types from single-cell RNA-Seq
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.
Additional Information
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. bioRxiv preprint first posted online Feb. 1, 2018. We thank Nicolas Bray, Jase Gehring and Valentine Svensson for discussion and comments on the manuscript. Harold Pimentel assisted with the simulations. We thank Charlotte Soneson and Mark Robinson for questions that led to the clarification of GDE, DGE, DTU and DTE in Supplementary Figure 1.Attached Files
Submitted - 258566.full.pdf
Supplemental Material - 258566-1.pdf
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Additional details
- Eprint ID
- 90536
- Resolver ID
- CaltechAUTHORS:20181031-090523070
- Created
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2018-11-01Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field