Inferring cellular networks – a review.

Markowetz, Florian; Spang, Rainer

doi:10.1186/1471-2105-8-S6-S5

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学術論文

Inferring cellular networks – a review.

MPS-Authors

Markowetz, Florian
Max Planck Society;

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

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1471-2105-8-S6-S5.pdf
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引用

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.

引用: https://hdl.handle.net/11858/00-001M-0000-0010-8167-C

要旨

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.