CONICET | Buscador de Institutos y Recursos Humanos

The inference of different kinds of relations between pathways constitutes a challenging step towards the analysis of biological data. In this regard, this review article aims at outlining several methods that analyze associations between pathways starting from different sources of information, namely the internet, databases, and/or gene expression data. The source used in each case constitutes a first criterion for the classification of the methods. In this sense, some methods are strongly supported by the pathway topology annotations, whereas others can infer relationships extracting free-topology associations. The second criterion for grouping the methods is based on the inference strategies. The advantages and drawbacks of each methodology are presented, as well as a taxonomy tree and summary table as an overview of the discussion.