Increasing certainty in systems biology models using Bayesian multimodel inference
Abstract Mathematical models are indispensable for studying the architecture and behavior of intracellular signaling networks. It is common to develop models using phenomenological approximations due to the difficulty of fully observing the intermediate steps in intracellular signaling pathways. Thu...
Saved in:
| Main Authors: | Nathaniel Linden-Santangeli, Jin Zhang, Boris Kramer, Padmini Rangamani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-62415-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bayesian model comparison and parameter inference in systems biology using nested sampling.
by: Nick Pullen, et al.
Published: (2014-01-01) -
Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment
by: Wim Van den Berg, et al.
Published: (2012-01-01) -
Bayesian Inference of a Multivariate Regression Model
by: Marick S. Sinay, et al.
Published: (2014-01-01) -
An Approximate Bayesian Inference for Beta Regression Models
by: kobra Gholizadeh Gazvar, et al.
Published: (2022-07-01) -
Effective cell membrane tension protects red blood cells against malaria invasion.
by: Haleh Alimohamadi, et al.
Published: (2023-12-01)