heatmapSig {HTqPCR} | R Documentation |
Heatmap and clustering of deltadeltaCt values from different sample comparisons using qPCR data.
heatmapSig(qDE, comparison = "all", col, zero.center = TRUE, mar, dist = "pearson", ...)
qDE |
data.frame or list, as created by |
comparison |
integers or the names of the comparisons to include in the plot. Defaults to all results in the |
col |
colour scheme to use for the plot. |
zero.center |
logical, should the colour scale be centered around 0. |
mar |
vector of length two, the bottom and right side margins mof the heatmap. |
dist |
character string, either "pearson" (default) or "euclidean" indicating what type of distance is used for the clustering. |
... |
further arguments passed to |
This function can be useful if multiple conditions are compared, for detecting features with similar behaviour in comparisons, and look at the general level of up and down regulation.
A plot if produced in the current graphics device.
Heidi Dvinge
heatmap.2
for modifying the plot, and ttestCtData
or limmaCtData
for generating the data used for the plotting.