Table 4. Top gene networks and associated biological functions for gene expression clusters.
Cluster ID | Network ID | Associated Gene Network Functions | Score* |
Cluster 1 | 1 | Cellular development, cellular growth and proliferation | 46 |
2 | Inflammatory response, cell signalling and inflammatory disease | 38 | |
3 | Lipid metabolism, small molecule biochemistry and ophthalmic disease | 38 | |
4 | Connective tissue disorders, dental disease, developmental disorder | 33 | |
5 | Connective tissue disorders, genetic disorder, skeletal and muscular disorders | 28 | |
Cluster 2 | 1 | Cellular assembly and organisation, cellular function and maintenance | 46 |
2 | Cellular assembly and organization, skeletal and muscular system development and function | 43 | |
3 | Cellular development, cellular growth and proliferation, connective tissue development and function | 22 | |
4 | Cardiovascular system development and function, organ development, molecular transport | 22 | |
5 | Cardiovascular disease, cell death, gastrointestinal disease | 22 | |
Cluster 3 | 1 | Lipid metabolism, small molecule biochemistry, molecular transport | 41 |
2 | Cell cycle, DNA replication, recombination and repair, cellular assembly and organization | 33 | |
3 | Connective tissue disorders, genetic disorder, ophthalmic disease | 26 | |
4 | Developmental disorder, genetic disorder, neurological disease | 22 | |
5 | RNA post-translational modification, cell cycle, haematological system development and function | 22 | |
Cluster 4 | 1 | Cellular development, inflammatory response, cellular growth and proliferation | 33 |
2 | Gene expression, cardiovascular system development and function, cell morphology | 31 | |
Cluster 5 | 1 | Cellular movement, haematopoiesis, immune cell trafficking | 33 |
2 | Cardiovascular system development and function, organismal development | 20 | |
Cluster 6 | 1 | Cellular growth and proliferation, cellular development, haematological system development | 14 |
Gene network score is a numerical value used to rank networks according to how relevant they are to the genes in the input dataset. IPA uses a right-tailed Fisher's test to calculate the p-value for networks. A score of 10 indicates a pā=ā10ā10 chance that genes in that network are associated solely by chance. Only gene networks with a score >10 shown.