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Hence, several network alignment heuristics (i.e. approximate aligners) have been proposed.
Recently, several network alignment algorithms have been developed that can align more than two species.
This is the task of network alignment.
In contrast to local network alignment, relatively little attention has been paid to global network alignment.
They should also explain what a network alignment algorithm is.
Another challenge is the computational complexity of network alignment algorithms.
Biological network alignment has already had similar impacts.
Second, we model the network alignment using two probability matrices.
Current global network alignment methods have two major issues.
Many methods were developed to address network alignment problem.
Here we describe PINALOG, a global network alignment algorithm.
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