seurat
seurat copied to clipboard
Heatmap DEGs overlap: How to handle
Here, I have so many clusters with DEGs but these genes are not very distinct for each clusters (to some extent which is normal). How to handle it? Data collected from scRNAseq.
Suggestions are appreciated.
Hi, Could you please let me know what is each column representing? Is each column here representing a single cell or a pseudo-bulked cell type/cluster?
In addition, how is DEG defined for each cluster? Are they from FindMarkers()/FindAllMarkers() in Seurat?
This is the average gene expression heatmap. Each column represents cluster. DEGs are defined using FINDAllmarkers() and plotted top 10 gene for 18 clusters (in seurat).
Hello,
To find distinct genes for each cluster, you may have to run FindMarkers
to compare similar clusters (if clusters are similar compared to the rest of your dataset, they may have the same markers that come up in FindAllMarkers
, because this is a 1-vs-all comparison).