Inference of genetic regulatory networks with regulatory hubs using vector autoregressions and automatic relevance determination with model selections
From MaRDI portal
Publication:2170542
DOI10.1515/SAGMB-2020-0054zbMath1496.92048OpenAlexW4200325741MaRDI QIDQ2170542
Publication date: 6 September 2022
Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/sagmb-2020-0054
Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Systems biology, networks (92C42)
Cites Work
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Weighted-LASSO for structured network inference from time course data
- Autoregressive models for gene regulatory network inference: sparsity, stability and causality issues
- 10.1162/15324430152748236
- Bayesian Networks in R
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
- Regularization and Variable Selection Via the Elastic Net
- Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge
- A General Framework for Weighted Gene Co-Expression Network Analysis
- Unnamed Item
This page was built for publication: Inference of genetic regulatory networks with regulatory hubs using vector autoregressions and automatic relevance determination with model selections