Changes between Version 14 and Version 15 of SOP/scRNA-seq
- Timestamp:
- 07/17/20 09:51:58 (4 years ago)
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SOP/scRNA-seq
v14 v15 62 62 * aggregate counts across all cells in a group/cluster, and treat them as one sample 63 63 64 === Add biological annotations to cells or cell clusters === 65 66 Drawing biological conclusions from a single-cell experiment usually requires that one classify cells (or at least cell clusters) by type. Traditionally this is a time-consuming process of exploring marker genes and manually assigning cell type to each numbered cluster. Given that a number of public scRNA-seq experiments already have these annotations, one can leverage automated software with these ideally "gold standard" datasets to classify current experiments, either via expression profiles or marker genes. 67 64 68 65 69 === Perform trajectory analysis ===