Inferring latent gene regulatory network kinetics
Regulatory networks consist of genes encoding transcription factors (TFs) and the genes they activate or repress. Various types of systems of ordinary differential equations (ODE) have been proposed to model these networks, ranging from linear to Michaelis-Menten approaches. In practice, a serious drawback to estimate these models is that the TFs are generally unobserved. The reason is the actual lack of high-throughput techniques to measure abundance of proteins in the cell. The challenge is to infer their activity profile together with the kinetic parameters of the ODE using level expression measurements of the genes they regulate.
Year of publication: |
2013
|
---|---|
Authors: | Javier, González ; Ivan, Vujačić ; Ernst, Wit |
Published in: |
Statistical Applications in Genetics and Molecular Biology. - De Gruyter, ISSN 1544-6115. - Vol. 12.2013, 1, p. 109-127
|
Publisher: |
De Gruyter |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Inferring latent gene regulatory network kinetics
Javier, González, (2013)
-
Spatio-temporal model for multiple ChIP-seq experiments
Saverio, Ranciati, (2015)
- More ...