Open arnaudmet opened 1 year ago
The z-score is specifically utilized in a Heatmap to visualize the expression patterns of different genes using a unified color scheme. If you wish to compare gene expression across multiple groups or within specific groups, you can employ the FeatureStatPlot function. This function utilizes the expression data stored in the 'data' slot in default, for example:
# Multiple group comparisons
FeatureStatPlot(pancreas_sub, stat.by = c("Rbp4", "Pyy"), group.by = "SubCellType", multiplegroup_comparisons = TRUE)
# Pairwise comparisons within specified groups
FeatureStatPlot(pancreas_sub, stat.by = c("Rbp4", "Pyy"), group.by = "SubCellType", comparisons = list(c("Alpha", "Beta"), c("Alpha", "Delta")))
FeatureStatPlot(pancreas_sub, stat.by = c("Rbp4", "Pyy"), group.by = "SubCellType", comparisons = list(c("Alpha", "Beta"), c("Alpha", "Delta")), sig_label = "p.format")
# Within-group comparisons (pairwise or multiple group comparisons)
FeatureStatPlot(pancreas_sub, stat.by = c("G2M_score", "Fev"), group.by = "SubCellType", split.by = "Phase", comparisons = TRUE)
Hi, I have a question about zscore in the GroupHeatmap. Are the zscore compute for each gene, so i can compare the expression of one gene across all my group ? Or compute for each group so i compare the expression of multiple genes in one group ?
Thanks