A genomic random interval model for statistical analysis of genomic lesion data.

ABSTRACT:

Motivation

Tumors exhibit numerous genomic lesions such as copy number variations, structural variations and sequence variations. It is difficult to determine whether a specific constellation of lesions observed across a cohort of multiple tumors provides statistically significant evidence that the lesions target a set of genes that may be located across different chromosomes but yet are all involved in a single specific biological process or function.

Results

We introduce the genomic random interval (GRIN) statistical model and analysis method that evaluates the statistical significance of the abundance of genomic lesions that overlap a specific locus or a pre-defined set of biologically related loci. The GRIN model retains certain biologically important properties of genom

SUBMITTER: Pounds S 

PROVIDER: S-EPMC3740633 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature