scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
Abstract Single-cell RNA sequencing has enabled the characterization of highly specific cell types in many tissues, as well as both primary and stem cell-derived cell lines. An important facet of these studies is the ability to identify the transcriptional signatures that define a cell type or state...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-12-01
|
| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-019-1862-5 |