Wird geladen...
Demystifying “drop-outs” in single-cell UMI data
Many existing pipelines for scRNA-seq data apply pre-processing steps such as normalization or imputation to account for excessive zeros or “drop-outs." Here, we extensively analyze diverse UMI data sets to show that clustering should be the foremost step of the workflow. We observe that most d...
Gespeichert in:
| Veröffentlicht in: | Genome Biol |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2020
|
| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7412673/ https://ncbi.nlm.nih.gov/pubmed/32762710 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02096-y |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|