A simulated microarray timecourse dataset, generated using the perfect and fixed effect intervention models.
A data frame with 32 observations on the following 19 variables.
a factor with levels representing the cell line.
a factor with levels describing the inhibitors used in each sample.
a factor with levels describing the stimulus used in each sample.
a integer vector (starting from zero) representing the time index of each sample.
The remaining columns give the log-concentrations of each node.
Simulated by Simon Spencer.
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