Identifying Liver Cancer and Its Relations with Diseases, Drugs, and Genes: A Literature-Based Approach

Yongjun Zhu, Min Song and Erjia Yan

PLOS ONE, 2016, vol. 11, issue 5, 1-14

Abstract: In biomedicine, scientific literature is a valuable source for knowledge discovery. Mining knowledge from textual data has become an ever important task as the volume of scientific literature is growing unprecedentedly. In this paper, we propose a framework for examining a certain disease based on existing information provided by scientific literature. Disease-related entities that include diseases, drugs, and genes are systematically extracted and analyzed using a three-level network-based approach. A paper-entity network and an entity co-occurrence network (macro-level) are explored and used to construct six entity specific networks (meso-level). Important diseases, drugs, and genes as well as salient entity relations (micro-level) are identified from these networks. Results obtained from the literature-based literature mining can serve to assist clinical applications.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0156091

DOI: 10.1371/journal.pone.0156091

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