One session at the conference is on text mining. One in particular looks like it has value: "Ingenuity Pathways Analysis 4.0: Workflows allowing Biomarker Discovery." This might be worth pursuing to see if can help in the search for aging biomarkers.
Watch the movie (slideware)
"Ingenuity Pathways Analysis 4.0: Workflows allowing Biomarker Discovery."
Adam S Corner, Field Application Scientist, Ingenuity Systems
Synopsis: There is a significant unmet need for discovery and validation of biomarkers. Here we have analysed publicly available gene expression and proteomic signatures of rheumatoid arthritis using Ingenuity Pathways Analysis (IPA). Genomics and proteomics approaches to biomarker discovery are widely employed in the field of rheumatoid arthritis, yet are faced with 2 fundamental challenges: anchoring molecular profiles to phenotypes associated with the disease, and integration of data from multiple experimental platforms and different preclinical and clinical models of disease. Consequently gene-to-gene comparisons of gene/protein profiles generated from different studies or different experimental platforms often show little overlap. However, placing these profiles in the context of pathways, biological functions, and regulatory networks from IPA reveals much greater biological consistency between profiles. Analysis of these gene expression and protein signatures in IPA provided an understanding of which biomarker candidates were functionally relevant to rheumatoid arthritis and related biological processes. The ability in IPA to clarify the subcellular localisation and tissue expression patterns of candidate genes participating in those functions and pathways enables identification of a workable number of genes to follow up on as potential biomarker candidates."Ingenuity Pathways Analysis 4.0: Workflows allowing Biomarker Discovery."
Adam S Corner, Field Application Scientist, Ingenuity Systems
