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A graph theoretical approach to data fusion
File | Description | Size | Format | |
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sagmb-2016-0016.pdf | Published version | 2.48 MB | Adobe PDF | View/Open |
Title: | A graph theoretical approach to data fusion |
Authors: | Zurauskiene, J Kirk, PDW Stumpf, MPH |
Item Type: | Journal Article |
Issue Date: | 18-Mar-2016 |
Date of Acceptance: | 18-Mar-2016 |
URI: | http://hdl.handle.net/10044/1/33803 |
DOI: | http://dx.doi.org/10.1515/sagmb-2016-0016 |
ISSN: | 1544-6115 |
Publisher: | De Gruyter |
Start Page: | 107 |
End Page: | 122 |
Journal / Book Title: | Statistical Applications in Genetics and Molecular Biology |
Volume: | 15 |
Issue: | 2 |
Copyright Statement: | © 2016, Michael P.H. Stumpf et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. |
Sponsor/Funder: | The Leverhulme Trust Human Frontier Science Program Biotechnology and Biological Sciences Research Council (BBSRC) |
Funder's Grant Number: | F/07 058/BP RGP0061/2011 BB/K017284/1 |
Keywords: | Science & Technology Life Sciences & Biomedicine Physical Sciences Biochemistry & Molecular Biology Mathematical & Computational Biology Statistics & Probability Mathematics clustering data integration functional genomics graph-theoretic methods INCLUSION-BODY MYOSITIS PROTEIN-INTERACTION NETWORKS MITOTIC CELL-CYCLE BIOLOGICAL NETWORKS DATA INTEGRATION GENOMIC DATA COMPLEXES INFERENCE BREAST VISUALIZATION Bioinformatics 01 Mathematical Sciences 06 Biological Sciences |
Publication Status: | Published |
Open Access location: | http://www.degruyter.com/view/j/sagmb.2016.15.issue-2/sagmb-2016-0016/sagmb-2016-0016.xml |
Appears in Collections: | Faculty of Natural Sciences |