Skip to main content
Fig. 1 | BioData Mining

Fig. 1

From: Building a glaucoma interaction network using a text mining approach

Fig. 1

The workflow pipeline followed to build the glaucoma interaction network. Step 1: PubMed Central is queried for glaucoma related articles. Step 2: all glaucoma articles are collected and a glaucoma collection is constructed. Step 3: each document in the resulting collection is processed using the text mining pipeline detailed in Fig. 2 and a set of relations is obtained. Step 4: relations are stored into a database and filtered using SQL queries. Step 5: Filtered relations are subjected to manual inspection to identify meaningful relations worthy of validation. Step 6: inspected relations are then validated and evaluated against external reference databases. Step 7: validated relations are mapped to nodes and edges to form a potential glaucoma network. Step 8: network analysis of the resulting network is performed. The left panel contains external databases needed by each step of the workflow. See Table 1 for definition of BD, and BO

Back to article page