Automatic semantic classification of scientific literature according to the hallmarks of cancer

Abstract

MOTIVATION The hallmarks of cancer have become highly influential in cancer research. They reduce the complexity of cancer into 10 principles (e.g. resisting cell death and sustaining proliferative signaling) that explain the biological capabilities acquired during the development of human tumors. Since new research depends crucially on existing knowledge… (More)
DOI: 10.1093/bioinformatics/btv585

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@article{Baker2016AutomaticSC, title={Automatic semantic classification of scientific literature according to the hallmarks of cancer}, author={Simon C Baker and Ilona Silins and Yufan Guo and Imran Ali and Johan H{\"{o}gberg and Ulla Stenius and Anna Korhonen}, journal={Bioinformatics}, year={2016}, volume={32 3}, pages={432-40} }