Generates a network.
Generates a network.
network_random( nb, time_label, exp, init, regul, min_expr, max_expr, casc.level )
nb |
Integer. The number of genes. |
time_label |
Vector. The time points measurements. |
exp |
The exponential parameter, as in the barabasi.game function in igraph package. |
init |
The attractiveness of the vertices with no adjacent edges. See barabasi.game function. |
regul |
A vector mapping each gene with its number of regulators. |
min_expr |
Minimum of strength of a non-zero link |
max_expr |
Maximum of strength of a non-zero link |
casc.level |
... |
A network object.
Nicolas Jung, Frédéric Bertrand , Myriam Maumy-Bertrand.
Jung, N., Bertrand, F., Bahram, S., Vallat, L., and Maumy-Bertrand, M. (2014). Cascade: a R-package to study, predict and simulate the diffusion of a signal through a temporal gene network. Bioinformatics, btt705.
Vallat, L., Kemper, C. A., Jung, N., Maumy-Bertrand, M., Bertrand, F., Meyer, N., ... & Bahram, S. (2013). Reverse-engineering the genetic circuitry of a cancer cell with predicted intervention in chronic lymphocytic leukemia. Proceedings of the National Academy of Sciences, 110(2), 459-464.
set.seed(1) Net<-network_random( nb=100, time_label=rep(1:4,each=25), exp=1, init=1, regul=round(rexp(100,1))+1, min_expr=0.1, max_expr=2, casc.level=0.4 ) plot(Net)
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