interventionalData

A simulated microarray timecourse dataset, generated using the perfect and fixed effect intervention models.

datasets

This package allows a dynamic Bayesian network to be inferred from microarray timecourse data with interventions (inhibitors).

Simon Spencer

interventionalDBN

Interventional Inference for Dynamic Bayesian Networks

interventionalData function

A data frame with 32 observations on the following 19 variables.
<dl>
<dt><code>Cell.line</code></dt><dd>a factor with levels representing the cell line.</dd> <dt><code>Inhibitor</code></dt><dd>a factor with levels describing the inhibitors used in each sample.</dd> <dt><code>Stimuli</code></dt><dd>a factor with levels describing the stimulus used in each sample.</dd> <dt><code>Timepoint</code></dt><dd>a integer vector (starting from zero) representing the time index of each sample.</dd> <dt><code>EGFR</code></dt><dd>The remaining columns give the log-concentrations of each node.</dd> <dt><code>SRC</code></dt><dd></dd> <dt><code>STAT5</code></dt><dd></dd> <dt><code>Mek</code></dt><dd></dd> <dt><code>MAPK</code></dt><dd></dd> <dt><code>p90RSK</code></dt><dd></dd> <dt><code>PDK</code></dt><dd></dd> <dt><code>AKT</code></dt><dd></dd> <dt><code>GSK</code></dt><dd></dd> <dt><code>TSC2</code></dt><dd></dd> <dt><code>BAD</code></dt><dd></dd> <dt><code>mTOR</code></dt><dd></dd> <dt><code>p70S6K</code></dt><dd></dd> <dt><code>S6</code></dt><dd></dd> <dt><code>FOXO3</code></dt><dd></dd> </dl> 

interventionalData: Simulated micro-array timecourse data speadsheet.

Description

Usage

Arguments

Format

Source

See Also

Examples