Difference between revisions of "File:Fig5 Panahiazar JofBiomedInformatics2017 72-8.jpg"

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==Summary==
{{Information
|Description='''Figure 5.''' A network diagram illustrating associations between all elements (GPL for platform, Type, Organism, and Molecule) in rules generated by all algorithms. This association shows which element is more predictable based on other elements. It also reveals the power of each element to predict other elements. Thick lines indicate associations of bigger than 0.5 (strong association), medium lines indicate associations between 0.05 and 0.5. Associations of strength less than 0.05 are thin lines (weak association).
|Source={{cite journal |title=Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO) |journal=Journal of Biomedical Informatics |author=Panahiazar, M.; Dumontier, M.; Gevaert, O. |volume=72 |pages=8 |year=2017 |doi=10.1016/j.jbi.2017.06.017}}
|Author=Panahiazar, M.; Dumontier, M.; Gevaert, O.
|Date=2017
|Permission=[http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International]
}}
== Licensing ==
== Licensing ==
{{cc-by-nc-nd-4.0}}
{{cc-by-nc-nd-4.0}}

Latest revision as of 15:40, 23 August 2017

Summary

Description

Figure 5. A network diagram illustrating associations between all elements (GPL for platform, Type, Organism, and Molecule) in rules generated by all algorithms. This association shows which element is more predictable based on other elements. It also reveals the power of each element to predict other elements. Thick lines indicate associations of bigger than 0.5 (strong association), medium lines indicate associations between 0.05 and 0.5. Associations of strength less than 0.05 are thin lines (weak association).

Source

Panahiazar, M.; Dumontier, M.; Gevaert, O. (2017). "Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO)". Journal of Biomedical Informatics 72: 8. doi:10.1016/j.jbi.2017.06.017. 

Date

2017

Author

Panahiazar, M.; Dumontier, M.; Gevaert, O.

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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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