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Inferring network structure from interventional time-course experiments
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Spencer, Simon E. F., Hill, Steven M. (Mark) and Mukherjee, Sach (2015) Inferring network structure from interventional time-course experiments. Annals of Applied Statistics, Volume 9 (Number 1). pp. 507-524. doi:10.1214/15-AOAS806 ISSN 1932-6157.
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Official URL: http://dx.doi.org/10.1214/15-AOAS806
Abstract
Graphical models are widely used to study biological networks. Interventions on network nodes are an important feature of many experimental designs for the study of biological networks. In this paper, we put forward a causal variant of dynamic Bayesian networks (DBNs) for the purpose of modeling time-course data with interventions. The models inherit the simplicity and computational efficiency of DBNs but allow interventional data to be integrated into network inference. We show empirical results, on both simulated and experimental data, that demonstrate the need to appropriately handle interventions when interventions form part of the design.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||
Library of Congress Subject Headings (LCSH): | Computer networks | ||||||||
Journal or Publication Title: | Annals of Applied Statistics | ||||||||
Publisher: | Insitute of Mathematical Statistics | ||||||||
ISSN: | 1932-6157 | ||||||||
Official Date: | 28 April 2015 | ||||||||
Dates: |
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Volume: | Volume 9 | ||||||||
Number: | Number 1 | ||||||||
Number of Pages: | 18 | ||||||||
Page Range: | pp. 507-524 | ||||||||
DOI: | 10.1214/15-AOAS806 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Description: | Includes supplementary data. |
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Date of first compliant deposit: | 28 December 2015 | ||||||||
Date of first compliant Open Access: | 28 December 2015 | ||||||||
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