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. 2012 Aug 3;7(8):e42778. doi: 10.1371/journal.pone.0042778

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€Š=ā€Š10āˆ’10 chance that genes in that network are associated solely by chance. Only gene networks with a score >10 shown.