The Ingenuity data-mining tool uses knowledge from the literature to evaluate how best to connect all the genes on a list (focus genes) to each other with the help of some non-focus genes.
In his 2006 book "The White Man's Burden: Why the West's Efforts to Aid the Rest Have Done So Much Ill and So Little Good," he writes that the planner "thinks of poverty as a technical engineering problem" that can be solved with enough money, intelligence, ingenuity, and data.
Consistent with the KEGG data, Ingenuity Pathway Analysis also detected overrepresentation of members of the integrin signaling pathway, which overlaps extensively with the ephrin signaling pathway.
Our global proteomics modeling data, Ingenuity Pathway analysis, and mRNA-protein correlation data further suggested a direct role of Meq and NF-κB in MD transformation.
Trichostatin A-regulated genes are significantly enriched in genes related to 'Immunological disease and Inflammatory disease' pathway (P<0.05; Ingenuity pathway analysis, data not shown).
To identify signaling and metabolic pathways enriched in specific data sets, Ingenuity Pathway Analysis software core analysis (Ingenuity systems) was utilized to determine the statistical significance of enrichment for the pathways within a given data set.
Ingenuity pathway analysis of data from differentially expressed genes in T-Ag transfected cells identified a subset of genes that are associated with cellular migration and invasion through the AKT and MAPK signaling pathways.
To characterize the functional consequences of gene expression changes associated with PT treatment and influenza infection, we performed pathway analysis of the gene expression data with Ingenuity Pathways Analysis.
The sub networks derived from the proteomic data using Ingenuity Pathway Analysis have many common proteins connected with the important hubs such as AR, c-Myc, ERS1, Akt/PKB and their role in PCa progression or potential as disease markers is not known yet (Figure 6A D).
Ingenuity Pathway Analysis (IPA) data identified the most relevant modifications in gene expression in ASCmo.
We also subjected these microarray data to Ingenuity pathway analysis (Additional file 4: Figure S4).
