A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.

This ratio is highly significant ( P =1.1×10 −6 ) ( Figure 2 ).

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Currently, we observe an increasing trend toward generating multi-dimensional genomic data including copy number variation, DNA methylation, histone modification, miRNA expression and gene expression data, all profiled on the same set of samples.

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