heatmapSig {HTqPCR} | R Documentation

## Heatmap of deltadeltaCt values from qPCR data.

### Description

Heatmap and clustering of deltadeltaCt values from different sample comparisons using qPCR data.

### Usage

    heatmapSig(qDE, comparison = "all", col, zero.center = TRUE, mar, dist = "pearson", ...)

### Arguments

`qDE` | data.frame or list, as created by `ttestCtData` or `limmaCtData`.
`comparison` | integers or the names of the comparisons to include in the plot. Defaults to all results in the `qDE` data, but a minimum of two is required.
`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 `heatmap.2`.

### Details

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.

### Value

A plot if produced in the current graphics device.

### Author(s)

Heidi Dvinge

### See Also

`heatmap.2` for modifying the plot, and `ttestCtData` or `limmaCtData` for generating the data used for the plotting.

[Package HTqPCR version 1.36.0 Index]