Publication: Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
Background Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships between entities, are key for identification of actionable knowledge from free text repositories. We present the BeFree system aimed at identifying…
Poster: DisGeNET: a discovery platform for the exploration of human diseases and their genes
XII Symposium on Bioinformatics, Sevilla, Italy View poster
Publication: A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature
The biomedical literature represents a rich source of biomarker information. However, both the size of literature databases and their lack of standardization hamper the automatic exploitation of the information contained in these resources. Text mining approaches have proven to be useful for the exploitation of information contained in the scientific…