Coerce a matrix into a micro_array object.
Coerce a matrix into a micro_array object.
as.micro_array(M, time, subject)
M |
A matrix. Contains the microarray measurements. Should of size N * K, with N the number of genes and K=T*P with T the number of time points, and P the number of individuals. This matrix should be created using cbind(M1,M2,...) with M1 a N*T matrix with the measurements for individual 1, M2 a N*T matrix with the measurements for individual 2. |
time |
A vector. The time points measurements. |
subject |
The number of subjects. |
A micro_array 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.
if(require(CascadeData)){
data(micro_US)
micro_US<-as.micro_array(micro_US,time=c(60,90,210,390),subject=6)
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