| network_random {Cascade} | R Documentation |
Generates a network.
Description
Generates a network.
Usage
network_random(
nb,
time_label,
exp,
init,
regul,
min_expr,
max_expr,
casc.level
)
Arguments
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 |
... |
Value
A network object.
Author(s)
Nicolas Jung, Frédéric Bertrand , Myriam Maumy-Bertrand.
References
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.
Examples
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)