Building a glaucoma interaction network using a text mining approach

Table 12 Clusters extracted from the giant components in the glaucoma network and their associated profiles

Cluster	# Nodes	BG	NBG	Node with highest degree	Known relations	New relations	Unverified relations	Disconnected relations
Green	36	6	11	CYP1B1 = 17	10	14	8	4
Purple	23	1	9	OPTN = 10	7	15	0	1
Red	15	0	5	OPA1 = 5	2	12	0	1
Yellow	13	2	5	FOXC4 = 7	2	11	0	0
Blue	9	2	7	CKM = 9	4	5	0	0

The giant components in the glaucoma network depicted in Fig. 7 are clustered into five clusters. Clusters are ordered in descending order of the number of nodes in each cluster. Cluster properties include number of BG, NBG, highest degree, and the number of different types of relations contained within the cluster

ISSN: 1756-0381