Coerce a matrix into a micro_array object.

as.micro_array(M, time, subject)

Arguments

M	A matrix. Contains the microarray measurements. Should of size N * K, with N the number of genes and K=TP 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 NT 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.

Value

A micro_array object.

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.

Author

Nicolas Jung, Frédéric Bertrand , Myriam Maumy-Bertrand.

Examples


  if(require(CascadeData)){
  data(micro_US)
  micro_US<-as.micro_array(micro_US,time=c(60,90,210,390),subject=6)
  }
#> Le chargement a nécessité le package : CascadeData