Journal article
Comparison of large networks with sub-sampling strategies
- Abstract:
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Networks are routinely used to represent large data sets, making the comparison of networks a tantalizing research question in many areas. Techniques for such analysis vary from simply comparing network summary statistics to sophisticated but computationally expensive alignment-based approaches. Most existing methods either do not generalize well to different types of networks or do not provide a quantitative similarity score between networks. In contrast, alignment-free topology based networ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 733.0KB, Terms of use)
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- Publisher copy:
- 10.1038/srep28955
Authors
Funding
+ Biotechnology and Biological Sciences Research Council
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Grant:
Oxford Center for Integrated Systems Biology (OCISB
Systems Biology Doctoral Training Center (DTC)
Bibliographic Details
- Publisher:
- Nature Publishing Group
- Journal:
- Scientific Reports More from this journal
- Publication date:
- 2016-07-06
- Acceptance date:
- 2016-06-07
- DOI:
- EISSN:
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2045-2322
- ISSN:
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2045-2322
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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pubs:627921
- UUID:
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uuid:2d8992f0-165a-4237-9d5b-6b46bfa78d2e
- Local pid:
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pubs:627921
- Source identifiers:
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627921
- Deposit date:
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2016-08-11
Terms of use
- Copyright holder:
- Ali et al
- Copyright date:
- 2016
- Notes:
- © the Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.
- Licence:
- CC Attribution (CC BY)
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