A modular framework for gene set analysis integrating multilevel omics data.

ABSTRACT: Modern high-throughput methods allow the investigation of biological functions across multiple 'omics' levels. Levels include mRNA and protein expression profiling as well as additional knowledge on, for example, DNA methylation and microRNA regulation. The reason for this interest in multi-omics is that actual cellular responses to different conditions are best explained mechanistically when taking all omics levels into account. To map gene products to their biological functions, public ontologies like Gene Ontology are commonly used. Many methods have been developed to identify terms in an ontology, overrepresented within a set of genes. However, these methods are not able to appropriately deal with any combination of several data types. Here, we propose a new method to analyse integrate

SUBMITTER: Sass S 

PROVIDER: S-EPMC3834824 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature