A high-dimensional linear State Space Model(SSM) with a new Expectation-Regularization-Maximization(ERM) algorithm to construct the dynamic Gene Regularization Network(GRN). The new ERM algorithm employs the idea of the adaptive LASSO-based variable selection method to preserve the sparsity property of GRN.
|Author||Yu Gu supervised by Xing Qiu|
|Maintainer||Yu Gu <[email protected]>|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.