Locally adaptive statistical procedures for the integrative analysis on genomic and transcriptional data

The systematic integration of expression profiles and other types of gene information, such as copy number, chromosomal localization, and sequence characteristics, still represents a challenge in the genomic arena. In particular, the integrative analysis of genomic and transcriptional data in context of the physical location of genes in a genome appears promising in detecting chromosomal regions with structural and transcriptional imbalances often characterizing cancer.