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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 3/2018

05-01-2016 | Original Article

An experimental study of information content measurement of gene ontology terms

Authors: Marianna Milano, Giuseppe Agapito, Pietro H. Guzzi, Mario Cannataro

Published in: International Journal of Machine Learning and Cybernetics | Issue 3/2018

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Abstract

The gene ontology (GO) is commonly used to store and organize information about functions of biological molecules through a controlled vocabulary of terms (GO Terms). GO Terms refer to biological concepts through the annotation process. There exist many different annotation processes used by researchers. Each term has a different specificity that is formally measured by the information content (IC). Both the structure of GO and the corpora of annotations are continuously changing following novel experimental findings. This work focuses on how changes of annotations affect the IC of terms. The study confirms that statistically significant differences among annotation corpus of different years on each species occur. These results convey that annotation corpora changes have a high impact on IC.
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Appendix
Available only for authorised users
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Metadata
Title
An experimental study of information content measurement of gene ontology terms
Authors
Marianna Milano
Giuseppe Agapito
Pietro H. Guzzi
Mario Cannataro
Publication date
05-01-2016
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 3/2018
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-015-0482-y

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