Y: Gene expression matrix

In sparseSEM: Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework

Gene expression matrix

Description

Y is the M by N matrix describes the dependent attribute of M nodes in N samples

Usage

data(Y)

Format

The format is: num [1:30, 1:200] 3.02 1.12 -2.24 3.58 2.18 ...

Details

Gene expression data

References

1. Cai, X., Bazerque, J.A., and Giannakis, G.B. (2013). Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations. PLoS Comput Biol 9, e1003068.
2. Huang, A. (2014). "Sparse model learning for inferring genotype and phenotype associations." Ph.D Dissertation. University of Miami(1186).

Examples

data(Y)

sparseSEM documentation built on Aug. 9, 2023, 5:07 p.m.