Biomarker Identification Using Text Mining | Zendy

Hui Li | Zendy; Chunmei Liu | Zendy

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Biomarker Identification Using Text Mining

Author(s) -

Hui Li,

Chunmei Liu

Publication year - 2012

Publication title -

computational and mathematical methods in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 48

eISSN - 1748-6718

pISSN - 1748-670X

DOI - 10.1155/2012/135780

Subject(s) - identification (biology) , computer science , construct (python library) , biomarker discovery , biomarker , data mining , data science , computational biology , information retrieval , bioinformatics , biology , proteomics , ecology , genetics , gene , programming language

Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.

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