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- W2055007072 abstract "We introduce a method to convert an ensemble of sequences of symbols into a weighted directed network whose nodes are motifs, while the directed links and their weights are defined from statistically significant co-occurences of two motifs in the same sequence. The analysis of communities of networks of motifs is shown to be able to correlate sequences with functions in the human proteome database, to detect hot topics from online social dialogs, to characterize trajectories of dynamical systems, and it might find other useful applications to process large amounts of data in various fields." @default.
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- W2055007072 date "2010-10-19" @default.
- W2055007072 modified "2023-10-17" @default.
- W2055007072 title "Networks of Motifs from Sequences of Symbols" @default.
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- W2055007072 doi "https://doi.org/10.1103/physrevlett.105.178702" @default.
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