title: Combined analysis of genome-wide expression and copy number profiles to identify key altered genomic regions in cancer.
abstract: Analysis of DNA copy number alterations and gene expression changes in human samples have been used to find potential target genes in complex diseases. Recent studies have combined these two types of data using different strategies, but focusing on finding gene-based relationships. However, it has been proposed that these data can be used to identify key genomic regions, which may enclose causal genes under the assumption that disease-associated gene expression changes are caused by genomic alterations.
authors.affiliation: Cancer Research Center, Consejo Superior de Investigaciones Cientificas, Campus Miguel de Unamuno, Salamanca, Spain. jrivas@usal.es
authors.forename: Celia
authors.initials: C
authors.lastname: Fontanillo
authors.forename: Sara
authors.initials: S
authors.lastname: Aibar
authors.forename: Jose Manuel
authors.initials: JM
authors.lastname: Sanchez-Santos
authors.forename: Javier
authors.initials: J
authors.lastname: De Las Rivas
mesh_terms: D000465:Algorithms; D018628:Gene Dosage / Q000235:genetics*; D015894:Genome, Human / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D005909:Glioblastoma / Q000235:genetics*; D006801:Humans; D008957:Models, Genetic; D059467:Transcriptome