Title |
Semantic Particularity Measure for Functional Characterization of Gene Sets Using Gene Ontology
|
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Published in |
PLOS ONE, January 2014
|
DOI | 10.1371/journal.pone.0086525 |
Pubmed ID | |
Authors |
Charles Bettembourg, Christian Diot, Olivier Dameron |
Abstract |
Genetic and genomic data analyses are outputting large sets of genes. Functional comparison of these gene sets is a key part of the analysis, as it identifies their shared functions, and the functions that distinguish each set. The Gene Ontology (GO) initiative provides a unified reference for analyzing the genes molecular functions, biological processes and cellular components. Numerous semantic similarity measures have been developed to systematically quantify the weight of the GO terms shared by two genes. We studied how gene set comparisons can be improved by considering gene set particularity in addition to gene set similarity. |
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Geographical breakdown
Country | Count | As % |
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France | 2 | 33% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
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United States | 3 | 9% |
Spain | 1 | 3% |
Unknown | 30 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 14 | 41% |
Student > Ph. D. Student | 6 | 18% |
Student > Master | 4 | 12% |
Student > Bachelor | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Other | 2 | 6% |
Unknown | 4 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 44% |
Computer Science | 9 | 26% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Psychology | 1 | 3% |
Chemistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 4 | 12% |