cytometryContinuous: The continuous cytometry network
In itsrainingdata/bndata: Curated Datasets for Bayesian Networks

Data and network for analyzing the flow cytometry experiment from Sachs et al. (2005). This dataset contains the raw measurements from these experiments.

1	data(cytometryContinuous)

A list with three components:

dag An edgeList containing the consensus network (11 nodes, 17 edges).
data A data.frame with 11 variables and 7466 observations.
ivn A list specifying which nodes are under intervention in each observation. Compatible with the input to sparsebnData.

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# Create a valid sparsebnData object from the cytometry data
data(cytometryContinuous)
dat <- sparsebnData(cytometryContinuous$data, type = "c", ivn = cytometryContinuous$ivn)