Your browser doesn't support javascript.
loading
The multi-reference contrast method: facilitating set enrichment analysis.
Fresno, Cristóbal; Llera, Andrea S; Girotti, María R; Valacco, María P; López, Juan A; Podhajcer, Osvaldo L; Balzarini, Mónica G; Prada, Federico; Fernández, Elmer A.
Afiliación
  • Fresno C; BioScience Data Mining Group, Catholic University of Córdoba, Córdoba, Argentina.
Comput Biol Med ; 42(2): 188-94, 2012 Feb.
Article en En | MEDLINE | ID: mdl-22226646
Set enrichment analysis (SEA) is used to identify enriched biological categories/terms within high-throughput differential expression experiments. This is done by evaluating the proportion of differentially expressed genes against a background reference (BR). However, the choice of the "appropriate" BR is a perplexing problem and results will depend on it. Here, a visualization procedure that integrates results from several BRs and a stability analysis of enriched terms is presented as a tool to aid SEA. The multi-reference contrast method (MRCM) combines results from multiple BRs in a unique picture. The application of the proposed method was illustrated in one proteomic and three microarray experiments. The MRCM facilitates the exploration task involved in ontology analysis on proteomic/genomic experiments, where consensus terms were found to validate main experimental hypothesis. The use of more than one reference may provide new biological insights. The tool automatically highlights non-consensus terms assisting SEA.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genómica / Bases de Datos Genéticas / Minería de Datos / Terminología como Asunto Límite: Animals / Humans Idioma: En Revista: Comput Biol Med Año: 2012 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genómica / Bases de Datos Genéticas / Minería de Datos / Terminología como Asunto Límite: Animals / Humans Idioma: En Revista: Comput Biol Med Año: 2012 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Estados Unidos