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Two-way sparsity for time-varying networks, with applications in genomics
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Bartlett, Thomas E., Kosmidis, Ioannis and Silva, Ricardo (2021) Two-way sparsity for time-varying networks, with applications in genomics. Annals of Applied Statistics, 15 (2). pp. 856-879. doi:10.1214/20-AOAS1416 ISSN 1932-6157.
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Official URL: https://doi.org/10.1214/20-AOAS1416
Abstract
We propose a novel way of modelling time-varying networks by inducing two-way sparsity on local models of node connectivity. This two-way sparsity separately promotes sparsity across time and sparsity across variables (within time). Separation of these two types of sparsity is achieved through a novel prior structure which draws on ideas from the Bayesian lasso and from copula modelling. We provide an efficient implementation of the proposed model via a Gibbs sampler, and we apply the model to data from neural development. In doing so, we demonstrate that the proposed model is able to identify changes in genomic network structure that match current biological knowledge. Such changes in genomic network structure can then be used by neurobiologists to identify potential targets for further experimental investigation.
Item Type: | Journal Article | |||||||||
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Subjects: | H Social Sciences > HA Statistics Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | |||||||||
Library of Congress Subject Headings (LCSH): | Genomics -- Statistical methods, Bayesian statistical decision theory , Sampling (Statistics) | |||||||||
Journal or Publication Title: | Annals of Applied Statistics | |||||||||
Publisher: | Insitute of Mathematical Statistics | |||||||||
ISSN: | 1932-6157 | |||||||||
Official Date: | June 2021 | |||||||||
Dates: |
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Volume: | 15 | |||||||||
Number: | 2 | |||||||||
Page Range: | pp. 856-879 | |||||||||
DOI: | 10.1214/20-AOAS1416 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Reuse Statement (publisher, data, author rights): | "The right to place the final version of this article (exactly as published in the journal) on their own homepage or in a public digital repository, provided there is a link to the official journal site." | |||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||
Copyright Holders: | Copyright © 2021 Institute of Mathematical Statistics | |||||||||
Date of first compliant deposit: | 2 December 2020 | |||||||||
Date of first compliant Open Access: | 2 December 2020 | |||||||||
RIOXX Funder/Project Grant: |
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Open Access Version: |
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