Generalized random set framework for functional enrichment analysis using primary genomics datasets.

ABSTRACT:

Motivation

Functional enrichment analysis using primary genomics datasets is an emerging approach to complement established methods for functional enrichment based on predefined lists of functionally related genes. Currently used methods depend on creating lists of 'significant' and 'non-significant' genes based on ad hoc significance cutoffs. This can lead to loss of statistical power and can introduce biases affecting the interpretation of experimental results.

Results

We developed and validated a new statistical framework, generalized random set (GRS) analysis, for comparing the genomic signatures in two datasets without the need for gene categorization. In our tests, GRS produced correct measures of statistical significance, and it showed dramatic improvement in the stat

SUBMITTER: Freudenberg JM 

PROVIDER: S-EPMC3025713 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature