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A nonparametric significance test for sampled networks

Abstract:

Motivation

Our work is motivated by an interest in constructing a protein-protein interaction network that captures key features associated with Parkinson’s disease. While there is an abundance of subnetwork construction methods available, it is often far from obvious which subnetwork is the most suitable starting point for further investigation.

Results

We provide a method to assess whether a subnetwork constructed from a seed list (a list of nodes known to be im...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Said Business School
Role:
Author
More from this funder
Name:
Oxford Martin School
Funding agency for:
Reinert, G
Grant:
EP/K032402/1
More from this funder
Name:
James Martin 21st Century Foundation
Funding agency for:
Reed-Tsochas, F
Grant:
LC1213-006
More from this funder
Name:
Engineering and Physical Sciences Research Council
Funding agency for:
Reinert, G
Grant:
EP/K032402/1
Publisher:
Oxford University Press
Journal:
Bioinformatics More from this journal
Volume:
34
Issue:
1
Pages:
64–71
Publication date:
2017-07-01
Acceptance date:
2017-06-30
DOI:
EISSN:
1460-2059
ISSN:
1367-4803
Pubs id:
pubs:703090
UUID:
uuid:b7cf280e-3b90-4906-97ef-a7ef3cda7d04
Local pid:
pubs:703090
Source identifiers:
703090
Deposit date:
2017-07-06

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