Gene Set Enrichment Analysis (GSEA)
has been a central tool in gene expression analysis since its
introduction in 2005. The idea is simple: An experiment can be explained
by a list of the representative gene sets which show a significantly
differential behavior in varying conditions. Ranking these gene sets
based on their enrichment statistics in current data can relate their
functional annotations with the experimental factors, such as diseases,
designed by the observer. Whilst the current GSEA implementations can
offer a large compendium of reliable gene sets, the concept is not
applicable for microRNA experiments since they do not compile any
previously defined microRNA sets in their analysis platform. We
introduce here a new web-based tool, called miSEA, which evaluates the
enrichment of predefined sets in a microRNA expression profiling
experiment with two biological conditions, e.g. control vs. treatment.
miSEA allows users to select amongst a large set of microRNA grouping
categories, such as family classification, disease association and
genome coordinate. In addition to a set of previously annotated microRNA
sets embedded in the system, the tool enables the users to import new
microRNA sets inferred by their own experiences.
Citatiton:
Corapcioglu E, Ogul H, (2015), miSEA: microRNA set enrichment analysis, Biosystems
134, 37-42.

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