evolution,network-method {Cascade} | R Documentation |
See the evolution of the network with change of cutoff. This function may be usefull to see if the global topology is changed while increasing the cutoff.
## S4 method for signature 'network'
evolution(
net,
list_nv,
gr = NULL,
color.vertex = NULL,
fix = TRUE,
gif = TRUE,
taille = c(2000, 1000),
label_v = 1:dim(net@network)[1],
legend.position = "topleft",
frame.color = "black",
label.hub = FALSE
)
net |
a network object |
list_nv |
a vector of cutoff at which the network should be shown |
gr |
a vector giving the group of each gene |
color.vertex |
a vector giving the color of each node |
fix |
logical, should the position of the node in the network be calculated once at the beginning ? Defaults to TRUE. |
gif |
logical, TRUE |
taille |
vector giving the size of the plot. Default to c(2000,1000) |
label_v |
(optional) the name of the genes |
legend.position |
(optional) the position of the legend, defaults to "topleft" |
frame.color |
(optional) the color of the frame, defaults to "black" |
label.hub |
(optional) boolean, defaults to FALSE |
A HTML page with the evolution of the network.
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.
data(network)
sequence<-seq(0,0.2,length.out=20)
#setwd("inst/animation")
#evolution(network,sequence)