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The algorithm at first identifies compact modules from input networks. Modules of both networks are then matched using functional knowledge. Then it uses high ...
In this paper, we present MODULA (Network Module based PPI Aligner), a novel approach for local network alignment that belong to the second class. The algorithm ...
Modules of both networks are then matched using functional knowledge. Then it uses high scoring pairs of modules as seeds to build a bigger alignment. In order ...
In this paper we present MODULA (Network Module based PPI Aligner), a novel approach for local network alignment that belong to the second class. The algorithm ...
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We present a novel global network alignment algorithm, named ModuleAlign, which makes use of local topology information to define a module-based homology score.
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MODULA: A Network Module Based Local Protein Interaction Network Alignment Method ... alignment of multiple protein-protein interaction (PPI) networks ...
Network alignment provides a comprehensive way to discover the similar parts between molecular systems of different species based on topological and biological ...
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In this survey paper, we focus on protein–protein interaction networks and review some representative algorithms for network alignment in the past two decades.
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Apr 19, 2017 · OPTNET uses a multi-objective memetic algorithm, coupling swap-based local search, mutation and crossover operations to create a population of ...
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MODULA: A network module based local protein interaction network alignment method ... alignment of protein–protein interaction networks by graph matching methods.