Title |
Selecting biologically informative genes in co-expression networks with a centrality score
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Published in |
Biology Direct, June 2014
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DOI | 10.1186/1745-6150-9-12 |
Pubmed ID | |
Authors |
Francisco J Azuaje |
Abstract |
Measures of node centrality in biological networks are useful to detect genes with critical functional roles. In gene co-expression networks, highly connected genes (i.e., candidate hubs) have been associated with key disease-related pathways. Although different approaches to estimating gene centrality are available, their potential biological relevance in gene co-expression networks deserves further investigation. Moreover, standard measures of gene centrality focus on binary interaction networks, which may not always be suitable in the context of co-expression networks. Here, I also investigate a method that identifies potential biologically meaningful genes based on a weighted connectivity score and indicators of statistical relevance. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Chile | 2 | 2% |
United States | 2 | 2% |
Colombia | 1 | <1% |
Australia | 1 | <1% |
Germany | 1 | <1% |
United Kingdom | 1 | <1% |
India | 1 | <1% |
Unknown | 94 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 36 | 35% |
Researcher | 16 | 16% |
Student > Master | 12 | 12% |
Student > Bachelor | 6 | 6% |
Student > Doctoral Student | 4 | 4% |
Other | 16 | 16% |
Unknown | 13 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 42 | 41% |
Biochemistry, Genetics and Molecular Biology | 21 | 20% |
Computer Science | 9 | 9% |
Mathematics | 4 | 4% |
Medicine and Dentistry | 3 | 3% |
Other | 8 | 8% |
Unknown | 16 | 16% |