Monday, November 11, 2013
Presenting complex splits graphs
One common problem when presenting results using a data-display network is the complexity of the relationships among the samples, especially when there is a large number of them. It is often the case that the relationships among closely related samples are impossible to see clearly.
A recent paper (El Baidouri F, Diancourt L, Berry V, Chevenet F, Pratlong F, Marty P, Ravel C (2013) Genetic structure and evolution of the Leishmania genus in Africa and Eurasia: what does MLSA tell us. PLoS Neglected Tropical Diseases 7: e2255) presents an interesting solution to this problem. Basically, the idea is to present a series of graphs, with the main graph showing the overall relationships and a collection of small graphs showing the details of different parts of the network.
This takes longer, of course, as it involves doing a series of analyses, one for each subset of the data, but this is easy enough to do in programs like SplitsTree. It seems to be an idea worth considering.
Posted by David Morrison at 12:30:00 AM
Labels: EDA, Splits graph
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