RT Journal Article
SR Electronic
T1 Identification of transcriptional signatures for cell types from single-cell RNA-Seq
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 258566
DO 10.1101/258566
A1 Ntranos, Vasilis
A1 Yi, Lynn
A1 Melsted, Páll
A1 Pachter, Lior
YR 2018
UL http://biorxiv.org/content/early/2018/02/14/258566.abstract
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.