ygu427/HDSSM: High-dimensional linear SSM for dynamic GRN
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.
Getting started
Browse package contents
Package details |
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| Author | Yu Gu supervised by Xing Qiu |
| Maintainer | Yu Gu <yu_gu@urmc.rochester.edu> |
| License | GPL-2 |
| Version | 1.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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