Semantic relations asserting the etiology of genetic diseases
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Updated: Aug 29, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
Published on: August 24, 2013
Thomas C Rindflesch1, Bisharah Libbus, Dimitar Hristovski
1National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20894, USA.
Abstract:
Considerable research is being directed at extracting molecular biology information from text. Particularly challenging in this regard is to identify relations between entities, such as protein-protein interactions or molecular pathways. In this paper we present a natural language processing method for extracting causal relations between genetic phenomena and diseases. After presenting the results of preliminary evaluation, we suggest the use of a graphical display application for viewing the semantic predications produced by the system.
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