Learning Gaussian graphical models from correlated data
Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of using partial correlation is to show the relation between two variables after “adjusting” for the ef...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Systems Biology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fsysb.2025.1589079/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|