Hypothesis Driven Secondary Network Mining from PubMed Using Epiphany

Incomplete knowledge about biological objects and a universal set of rules can be used to guide the exploration of PubMed literature to aggregate knowledge for secondary network inferencing. Epiphany is a novel text mining architecture in which users are able to express what is known about an object, what general rules apply for conclusion drawing, and what… CONTINUE READING