Vitalina Komashko

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Biological functions are carried out by groups of interacting molecules, cells or tissues, known as communities. Membership in these communities may overlap when biological components are involved in multiple functions. However, traditional clustering methods detect non-overlapping communities. These detected communities may also be unstable and difficult(More)
Biological functions are often realized by groups of interacting molecules or cells. Membership in these groups may overlap when molecules or cells are reused in multiple functions. Traditional clustering methods assign components to no more than one group, and cannot identify multi-community nodes. Technical noise is common in high-throughput biological(More)
clustering performance on real-world networks Traditionally, performance of clustering methods on networks with unknown correct clustering solutions is measured in terms of modularity (“Q”). Modularity measures the number of within-community connections, relative to the number expected at random. This measure has a maximum value of 1, but in practice(More)
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