---
title: "Supplementary Materials for Probabilistic Modeling Framework for Genomic Networks Incorporating Sample Heterogeneity"
author: "Liying Chen^{1,4}, Satwik Acharyya^{1,4}, Chunyu Luo^{2}, Yang Ni^3 and Veerabhadran Baladandayuthapani^{1,5}"
date: "2024-03-14T14:09:02Z"
tags: [Network]
link: "https://bookdown.org/bayesrx/graphr_supplementary/"
length_weight: "5.3%"
repo: "rstudio/bookdown-demo"
pinned: false
---

This containes all the supplementary materials for the paper named GraphR: a probabilistic modeling framework for genomic networks incorporating sample heterogeneity. [...] Network modeling are widely used in biomedical research, aiming to estimate and visualize complicated dependency structures in various fields and at different level. Graphically, networks compromise a set of variables (nodes) and relationships among nodes which are referred as edges. Under the assumption that: (1) edges represent partial correlation between nodes; (2) nodes follow Gaussian distribution, leading to a ...
