Data mining and integration

We can integrate, extract and mine data from different sources. Integration of data from a variety of analytical approaches is considerably more powerful than each approach on its own.

Examples include:

• Further data mining: pathway overlay of clusters can identify important targets and biological signatures of functional relevance
• mRNA and miRNA: we can identify statistically significant changes in miRNA levels that might have an effect on expression of genes in pathways
• mRNA and SNPs/indels: we can identify where SNPs/indels correlate with the effects on expression of related genes e.g. SNPs could map to putative /novel enhancer regions, promoters or within coding regions