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

Simon Baker | Zendy; Ilona Silins | Zendy; Yufan Guo | Zendy; Imran Ali | Zendy; Johan Högberg | Zendy; Ulla Stenius | Zendy; Anna Korhonen | Zendy

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

Author(s) -

Simon Baker,

Ilona Silins,

Yufan Guo,

Imran Ali,

Johan Högberg,

Ulla Stenius,

Anna Korhonen

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv585

Subject(s) - computer science , scientific literature , cancer , artificial intelligence , data science , software , information retrieval , natural language processing , bioinformatics , medicine , biology , paleontology , programming language

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, technology for semantic classification of scientific literature according to the hallmarks of cancer could greatly support literature review, knowledge discovery and applications in cancer research.

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