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Output details

11 - Computer Science and Informatics

Newcastle University

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Output 36 of 100 in the submission

Article title

Customizable views on semantically integrated networks for systems biology

Type

D - Journal article

DOI

10.1093/bioinformatics/btr134

Title of journal

Bioinformatics

Article number

Volume number

Issue number

First page of article

1299

ISSN of journal

1367-4811

Year of publication

2011

URL

http://dx.doi.org/10.1093/bioinformatics/btr134

Number of additional authors

Additional information

<28> The paper describes novel method and algorithm for reducing the complexity of semantically rich integrated networks through semantic collapsing. This method can be used to tailor the view of an integrated network to investigate specific biological hypotheses at a systems level. This is the first instance, to our knowledge, that such a method has been described for integrated networks in systems biology.

Interdisciplinary

Yes

Cross-referral requested

Research group

A - Biology, Neurosciences and Computing

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract