Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data
oleh: Aleksandr Ianevski, Anil K. Giri, Tero Aittokallio
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-03-01 |
Deskripsi
Cell types are typically identified in single cell transcriptomic data by manual annotation of cell clusters using established marker genes. Here the authors present a fully-automated computational platform that can quickly and accurately distinguish between cell types.