Output details

A distance-based test of association between paired heterogeneous genomic data

Due to rapid technological advances, a wide range of different measurements can be obtained from a given biological sample including single nucleotide polymorphisms, gene expression levels, DNA methylation and proteomic profiles. This paper proposed a novel statistical test to assess whether there is a non-random association between any paired biological measurements. The test only requires the specification of a suitable distance measure and therefore can be used with any biological data types. The test has been able to detect biological pathways in which genetic variability is associated to variation in gene expression levels in an ovarian cancer sample.