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Mendeley readers
| Chapter title |
Network Metamodeling: Effect of Correlation Metric Choice on Phylogenomic and Transcriptomic Network Topology
|
|---|---|
| Chapter number | 46 |
| Book title |
Network Biology
|
| Published in |
Advances in biochemical engineering biotechnology, January 2016
|
| DOI | 10.1007/10_2016_46 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-956459-3, 978-3-31-956460-9
|
| Authors |
Deborah A. Weighill, Daniel Jacobson |
| Abstract |
We explore the use of a network meta-modeling approach to compare the effects of similarity metrics used to construct biological networks on the topology of the resulting networks. This work reviews various similarity metrics for the construction of networks and various topology measures for the characterization of resulting network topology, demonstrating the use of these metrics in the construction and comparison of phylogenomic and transcriptomic networks. |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Professor | 1 | 17% |
| Other | 1 | 17% |
| Student > Master | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Arts and Humanities | 1 | 17% |
| Computer Science | 1 | 17% |
| Engineering | 1 | 17% |
| Other | 0 | 0% |