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

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.

SUBMITTER: Zhu Y

PROVIDER: S-EPMC4873143 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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

Zhu Yongjun Y Song Min M Yan Erjia E

PloS one 20160519 5

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 appr ...[more]

PMID: 27195695

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