pastboon (version 0.1.4)

myeloid_diff_net: The myeloid differentiation Boolean network

Description

The myeloid differentiation Boolean network proposed by Krumsiek et al.

Usage

data(myeloid_diff_net)

Details

The data consists of an object myeloid_diff_net of the class BooleanNetwork (from the BoolNet package), describing the myeloid differentiation gene regulatory network with 11 genes. More specifically, this network represents differentiation of common myeloid progenitors to megakaryocytes, erythrocytes, granulocytes and monocytes. The state space of the model is a hierarchical, acyclic graph, showing the principles of myeloid differentiation. A good agreement between the steady states of the model and microarray expression profiles of two different studies has been observed.

References

Krumsiek, J., Marr, C., Schroeder, T., & Theis, F. J. (2011). Hierarchical differentiation of myeloid progenitors is encoded in the transcription factor network. PloS one, 6(8), e22649.

Examples

# load the network
data(myeloid_diff_net)

# the network is stored in a variable called 'myeloid_diff_net'
print(myeloid_diff_net)