A corpus that contains more than 400 variants and their relations with genes, diseases, drugs, and cell lines in the context of cancer and anti-tumor drug screening research. BRONCO can be utilized to evaluate and train new methods used for extracting biomedical entity relations from full-text publications, and thus be a valuable resource to the biomedical text mining research community.
Department of Computer Science and Engineering, Korea University, Seongbuk-gu, Seoul, Korea; Translational Bioinformatics and Cancer Systems Biology Laboratory, Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, CO, USA; Department of Computer Science and Engineering, Korea University, Seongbuk-gu, Seoul, Korea
BRONCO funding source(s)
This work was supported by the National Research Foundation of Korea [NRF-2014M3C9A3063543, NRF-2014R1A2A1A10051238 and NRF-2012M3C4A7033341].