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)
Supplemental Methods Data sources for synthetic and non-biological networks Synthetic network benchmarks For disjoint community detection, we used the LFR benchmarks with 1000 nodes with average degree (number of connections) of 15 and maximum degree of 50 (Figure 2A) 1. The exponent, γ, for the degree sequence varies from 2 to 3 and the exponent, β, for(More)
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