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Network inference using informative priors
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Mukherjee, Sach and Speed, T. P. (2008) Network inference using informative priors. Proceedings of the National Academy of Sciences of the United States of America, Vol.105 (No.38). pp. 14313-14318. doi:10.1073/pnas.0802272105
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Official URL: http://dx.doi.org/10.1073/pnas.0802272105
Abstract
Recent years have seen much interest in the study of systems characterized by multiple interacting components. A class of statistical models called graphical models, in which graphs are used to represent probabilistic relationships between variables, provides a framework for formal inference regarding such systems. In many settings, the object of inference is the network structure itself. This problem of "network inference" is well known to be a challenging one. However, in scientific settings there is very often existing information regarding network connectivity. A natural idea then is to take account of such information during inference. This article addresses the question of incorporating prior information into network inference. We focus on directed models called Bayesian networks, and use Markov chain Monte Carlo to draw samples from posterior distributions over network structures. We introduce prior distributions on graphs capable of capturing information regarding network features including edges, classes of edges, degree distributions, and sparsity. We illustrate our approach in the context of systems biology, applying our methods to network inference in cancer signaling.
| Item Type: | Journal Article | ||||
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| Subjects: | Q Science > QA Mathematics Q Science > QH Natural history > QH301 Biology |
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| Divisions: | Faculty of Science > Statistics | ||||
| Library of Congress Subject Headings (LCSH): | Bayesian statistical decision theory, Cellular signal transduction, Systems biology, Biological models, Computational biology, Bioinformatics | ||||
| Journal or Publication Title: | Proceedings of the National Academy of Sciences of the United States of America | ||||
| Publisher: | National Academy of Sciences | ||||
| ISSN: | 0027-8424 | ||||
| Official Date: | 23 September 2008 | ||||
| Dates: |
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| Volume: | Vol.105 | ||||
| Number: | No.38 | ||||
| Number of Pages: | 6 | ||||
| Page Range: | pp. 14313-14318 | ||||
| DOI: | 10.1073/pnas.0802272105 | ||||
| Status: | Not Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | United States-United Kingdom Educational Commission, AstraZeneca (Firm) |
Data sourced from Thomson Reuters' Web of Knowledge
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