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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: J Cell Biochem. 2015 Mar;116(3):386–397. doi: 10.1002/jcb.24987

TABLE II.

Most Significantly Pertinent Diseases and Biological Functions Predicted by IPA Based on the Differentially Expressed Genes in HPAH and IPAH vs Control

Category P-value
Cancer 3.08E-17-8.72E-03
Cell cycle 9.67E-09-8.72E-03
Cellular assembly and organization 9.67E-09-8.09E-03
DNA replication, recombination, and repair 9.67E-09-8.51E-03
Cell death and survival 3.28E-08-7.9E-03
Cellular movement 1.61E-06-8.76E-03
Cellular growth and proliferation 2.78E-06-8.99E-03
Cell-to-cell signaling and interaction 5.06E-06-8.31E-03
Cardiovascular system development and function 7.91E-06-7.9E-03
Metabolic disease 1.05E-05-7.9E-03
Inflammatory response 1.33E-04-8.75E-03
Cellular compromise 1.57E-04-6.09E-03
Post-translational modification 2.73E-04-2.73E-04
Cell signaling 5.12E-04-8.09E-03
Respiratory system development and function 8.03E-04-1.19E-03
Molecular transport 1.35E-03-8.5E-03
Carbohydrate metabolism 1.66E-03-4.56E-03
Cardiovascular disease 1.88E-03-4.41E-03
Respiratory disease 2.13E-03-7.89E-03

The Biological Functional Analysis™ identified the biological functions and/or diseases that were most significant to the dataset. The 227 selected genes in Supplementary Table S2 were associated with a biological function in the ingenuity knowledge base were considered for analysis. Fischer's exact test was used to calculate a P-value determining the probability that each biological function and/or disease assigned to that data set is due to chance alone. The full list of the predicted diseases and biological functions, and the genes involved in those functions were shown in Supplementary Table S3.