TY - JOUR AU - Alexeyenko, Andrey AU - Lee, Woojoo AU - Pernemalm, Maria AU - Guegan, Justin AU - Dessen, Philippe AU - Lazar, Vladimir AU - Lehtiƶ, Janne AU - Pawitan, Yudi PY - 2012 DA - 2012/09/11 TI - Network enrichment analysis: extension of gene-set enrichment analysis to gene networks JO - BMC Bioinformatics SP - 226 VL - 13 IS - 1 AB - Gene-set enrichment analyses (GEA or GSEA) are commonly used for biological characterization of an experimental gene-set. This is done by finding known functional categories, such as pathways or Gene Ontology terms, that are over-represented in the experimental set; the assessment is based on an overlap statistic. Rich biological information in terms of gene interaction network is now widely available, but this topological information is not used by GEA, so there is a need for methods that exploit this type of information in high-throughput data analysis. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-13-226 DO - 10.1186/1471-2105-13-226 ID - Alexeyenko2012 ER -