Comments (2)
get very hight values between 3000 to 5000 for the 3 misigdb that I am interested on. Do you think it is making sens?
Yes this makes sense. The raw enrichment can vary quite a bit depending on the input and individual gene set. The major limitation of the normalization step it makes the data "batch" dependent or dependent on the cells used for the analysis because the range of 0 to 1 is determined by the max and min values seen in the data.
Then when I used dittoHeatmap the scale is between -4 and 4 in both cases. I was wandering if dittoHeatmap is normalising the data by itself?
dittoHeatmap()
default is to z-score transform the data, so the range -4 to 4 is standard deviations of the data.
Also I try to getSignificance but it looks like it needs a seurat object. Is it possible to use it with my SingleCellExperiment object?
Actually, get significant is asking for a data frame of the enrichment values. But making it compatible with single-cell objects is a good suggestion and I will add that to the "to-do" list.
Please let me know if you have any additional questions or issues.
Nick
from escape.
Thank you very much Nick!
from escape.
Related Issues (20)
- Visualization of Enrichment HOT 1
- Improve computational time for EnrichIt(), performPCA(), and masterPCAplot HOT 1
- Median of getSignificance and multi_dittoPlot() don't match HOT 2
- masterPCAplot bug HOT 1
- Saving heatmap HOT 1
- enrichmentPlot did not finish HOT 3
- enrichIT values-negative scores HOT 3
- Differentially expressed genes in enrichment pathways HOT 3
- getSignificance very memory intensive when fit = ANOVA HOT 3
- about using a subset of groups in visualization HOT 8
- Batch effect correction HOT 2
- About ANOVA results viz HOT 3
- How to add significant differences between groups of variables in a figure HOT 1
- enrichIT fails due to " file names with spaces do not work properly on this platform" HOT 1
- Leading edge subset
- Installing an older version of escape HOT 2
- enrichIt results in various aspects in layered form. HOT 1
- Normalization in enrichIt using 'UCell' HOT 1
- Prepare for upcoming Seurat v5 release
- How to find Enriched pathways per seurat_cluster? HOT 1
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from escape.