I am working on the analysis of a vascular disease based case-control gene expression study.
I am looking for some of the best-practice bioinformatics based meta-analysis methods to explain set of genes identified from a microarray experiment using bioinformatics methods. I have already tried enrichment analysis (GO terms and KEGG pathways) and literature mining which are routine in the literature. Is there any other bioinformatics method that I should try to understand more about the hits from microarray analysis ?
Could you explain in a bit more detail what your research question is?
Timtico, details about research question added.
Khader, could you say a bit more about what text mining approaches you tried here?
@Casey: I haven't used any text-mining tools. We were looking at a specific set of vascular disease related terms. I integrated MesH, GeneRIF and Pubmed IDs linked to Entrez Gene.