de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Inferring cellular networks – a review.

MPS-Authors

Markowetz,  Florian
Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50564

Spang,  Rainer
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)

1471-2105-8-S6-S5.pdf
(Any fulltext), 503KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Markowetz, F., & Spang, R. (2007). Inferring cellular networks – a review. BMC Bioinformatics, 8(Suppl 6), S5-S5. doi:10.1186/1471-2105-8-S6-S5.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-8167-C
Abstract
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show that most currently used methods can be organized by a few key concepts. The first part of the review deals with conditional independence models including Gaussian graphical models and Bayesian networks. The second part discusses probabilistic and graph-based methods for data from experimental interventions and perturbations.