getS: Estimate standardized Laplacian matrix

In glmaag: Adaptive LASSO and Network Regularized Generalized Linear Models

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

xx <- matrix(rnorm(12), 3, 4)
ss <- getS(xx, FALSE)

glmaag documentation built on May 10, 2019, 9:04 a.m.