Reverter Comes, FerranVegas Lozano, EstebanOller i Sala, Josep Maria2020-04-202020-04-2020180302-9743https://hdl.handle.net/2445/156044Computational methods are needed to combine diverse type of genome-wide data in a meaningful manner. Based on the kernel embedding of conditional probability distributions, a new measure for inferring the degree of association between two multivariate data sources is introduced. We analyze the performance of the proposed measure to integrate mRNA expression, DNA methylation and miRNA expression data.10 p.application/pdfeng(c) Springer Verlag, 2018BioinformàticaGenòmicaBioinformaticsGenomicsinfo:eu-repo/semantics/article6813182020-04-20info:eu-repo/semantics/openAccess