PT  - JOURNAL ARTICLE
AU  - Ntranos, Vasilis
AU  - Yi, Lynn
AU  - Melsted, Páll
AU  - Pachter, Lior
TI  - Identification of transcriptional signatures for cell types from single-cell RNA-Seq
AID  - 10.1101/258566
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 258566
4099  - http://biorxiv.org/content/early/2018/02/14/258566.short
4100  - http://biorxiv.org/content/early/2018/02/14/258566.full
AB  - 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.