/MACE2K

MACE2K project members develop new computational methods and software to retrieve genes, disease, variant, drug related information from multiple sources of big data including: clinicaltrials.gov, PubMed abstracts, open access articles, and conference proceedings. The software suite primarily contains natural language processing features, machine learning tools and a data visualization module to view and edit relationships between entities extracted. This suite supports biocurators in their workflow to capture the best available evidence for Precision Medicine from unstructured text.

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