glmaag (version 0.0.6)

getS: Estimate standardized Laplacian matrix

Description

Estimate standardized Laplacian matrix given data using gene co-expression network method

Usage

getS(x, sparse = T)

Arguments

x

data

sparse

estimate a sparse network or not, default to be T, but may be slow

Value

standardized laplacian matrix

References

Ucar D, Neuhaus I, Ross-MacDonald P, Tilford C, Parthasarathy S, et al. (2007) Construction of a reference gene association network from multiple profiling data: application to data analysis. Bioinformatics 23: 2716-2724.

Meinshausen, N., & B"uhlmann, P. (2006). High-dimensional graphs and variable selection with the lasso. The annals of statistics, 1436-1462.

Examples

# NOT RUN {
xx <- matrix(rnorm(12), 3, 4)
ss <- getS(xx, FALSE)
# }