Grasping frequent subgraph mining for bioinformatics applications

Grasping frequent subgraph mining for bioinformatics applications

Abstract Searching for interesting common subgraphs in graph data is a well-studied problem in data mining. Subgraph mining techniques focus on the discovery of patterns in graphs that exhibit a specific network structure that is deemed interesting within these data sets. The definition of which sub...

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Bibliographic Details
Main Authors: Aida Mrzic, Pieter Meysman, Wout Bittremieux, Pieter Moris, Boris Cule, Bart Goethals, Kris Laukens
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BioData Mining
Subjects:
Subgraph mining
Frequent subgraphs
Graph motifs
Biological networks
Pattern discovery
Pattern mining
Online Access:http://link.springer.com/article/10.1186/s13040-018-0181-9

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http://link.springer.com/article/10.1186/s13040-018-0181-9

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