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Network Reconstruction from Time-Course Perturbation Data Using Multivariate Gaussian Processes

Al-Sayed, S. and Koeppl, H. (2018):
Network Reconstruction from Time-Course Perturbation Data Using Multivariate Gaussian Processes.
In: IEEE International Workshop on Machine Learning for Signal Processing, In: IEEE International Workshop on Machine Learning for Signal Processing, Aalborg, Denmark, 17.-20. September 2018, [Online-Edition: https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?filter=i...],
[Conference or Workshop Item]

Abstract

In this work, we appropriate the popular tool of Gaussian processes to solve the problem of reconstructing networks from time-series perturbation data. To this end, we propose a construction for multivariate Gaussian processes to describe the continuous-time trajectories of the states of the network entities. We then show that this construction admits a state-space representation for the network dynamics. By exploiting Kalman filtering techniques, we are able to infer the underlying network in a computationally efficient manner.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Al-Sayed, S. and Koeppl, H.
Title: Network Reconstruction from Time-Course Perturbation Data Using Multivariate Gaussian Processes
Language: English
Abstract:

In this work, we appropriate the popular tool of Gaussian processes to solve the problem of reconstructing networks from time-series perturbation data. To this end, we propose a construction for multivariate Gaussian processes to describe the continuous-time trajectories of the states of the network entities. We then show that this construction admits a state-space representation for the network dynamics. By exploiting Kalman filtering techniques, we are able to infer the underlying network in a computationally efficient manner.

Title of Book: IEEE International Workshop on Machine Learning for Signal Processing
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Event Title: IEEE International Workshop on Machine Learning for Signal Processing
Event Location: Aalborg, Denmark
Event Dates: 17.-20. September 2018
Date Deposited: 30 Aug 2018 09:52
Official URL: https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?filter=i...
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