Efficient Bayesian estimates for discrimination among topologically different systems biology models
A major effort in systems biology is the development of mathematical models that describe complex biological systems at multiple scales and levels of abstraction. Determining the topology—the set of interactions—of a biological system from observations of the system's behavior is an important a...
Main Authors: | Hagen, David Robert, Tidor, Bruce |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Royal Society of Chemistry
2015
|
Online Access: | http://hdl.handle.net/1721.1/96859 https://orcid.org/0000-0002-3320-3969 |
Similar Items
-
Parameter and topology uncertainty for optimal experimental design
by: Hagen, David Robert
Published: (2014) -
A quantitative framework For large-scale model estimation and discrimination In systems biology
by: Eydgahi, Hoda
Published: (2013) -
Modeling formalisms in Systems Biology
by: Machado, Daniel, et al.
Published: (2012) -
Combined Model of Intrinsic and Extrinsic Variability for Computational Network Design with Application to Synthetic Biology
by: Toni, Tina, et al.
Published: (2013) -
Reply to Comment on “Sloppy models, parameter uncertainty, and the role of experimental design"
by: Hagen, David Robert, et al.
Published: (2013)