A nonparametric signiﬁcance test for sampled networks

Elliott, A; Leicht, E; Whitmore, A; Reinert, G; Reed-Tsochas, F

Journal article

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...
Expand abstract
Collapse abstract

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Elliott, A., Leicht, E., Whitmore, A., Reinert, G., & Reed-Tsochas, F. (2017). A nonparametric signiﬁcance test for sampled networks. Bioinformatics, 34(1), 64–71.

MLA Style

Elliott, A., et al. “A Nonparametric Signiﬁcance Test for Sampled Networks.” Bioinformatics, vol. 34, no. 1, Oxford University Press, 2017, pp. 64–71.

Chicago Style

Elliott, A, E Leicht, A Whitmore, G Reinert, and F Reed-Tsochas. 2017. “A Nonparametric Signiﬁcance Test for Sampled Networks.” Bioinformatics 34 (1): 64–71.
Tweet
Print

Access Document

Files:: Reinert et al, A nonpa...

(Version of record, pdf, 553.3KB)

Publisher copy:: 10.1093/bioinformatics/btx419

Authors

+ Elliott, A More by this author

Role:

Author

+ Leicht, E More by this author

Role:

Author

+ Whitmore, A More by this author

Role:

Author

+ Reinert, G More by this author

Institution:

University of Oxford

Division:

MPLS

Department:

Statistics

Role:

Author

+ Reed-Tsochas, F More by this author

Institution:

University of Oxford

Division:

SSD

Department:

Said Business School

Role:

Author

Funding

+ Oxford Martin School More from this funder

Funding agency for:

Reinert, G

Grant:

EP/K032402/1

+ James Martin 21st Century Foundation More from this funder

Funding agency for:

Reed-Tsochas, F

Grant:

LC1213-006

+ Engineering and Physical Sciences Research Council More from this funder

Funding agency for:

Reinert, G

Grant:

EP/K032402/1

Bibliographic Details

Publisher:: Oxford University Press Publisher's website
Journal:: Bioinformatics Journal website
Volume:: 34
Issue:: 1
Pages:: 64–71
Publication date:: 2017-07-01
Acceptance date:: 2017-06-30
DOI:: 10.1093/bioinformatics/btx419
EISSN:: 1460-2059
ISSN:: 1367-4803

Item Description

Pubs id:: pubs:703090
UUID:: uuid:b7cf280e-3b90-4906-97ef-a7ef3cda7d04
Local pid:: pubs:703090
Source identifiers:: 703090
Deposit date:: 2017-07-06

Terms of use

Copyright holder:: Elliott et al
Notes:: © The Author 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited..

Licence:: CC Attribution (CC BY)

Metrics

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

Journal article

A nonparametric signiﬁcance test for sampled networks

Motivation

Results

Actions

Access Document

Authors

Funding

Bibliographic Details

Item Description

Terms of use

Metrics

Views and Downloads

Altmetrics

Dimensions