Search | Result
| ID | 5120 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Brain |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Opcs |
| Cell type (subtype) | Opcs |
| Cell marker | Pdgfra |
| Frequency | |
| PubMed ID | 32650816 |
| Journal | Genome Biol |
| SCI IF | 10.124 |
| Evidence | Percentage of cells correctly assigned (ACC) was used to assess the accuracy of cell-type classification using the marker genes shown in Additional file 1 |
| Title | DISC:a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning |
| Authors | Yao He et al. |
| Date | 2020.7 |
| Data available | GSE110823 |
