Biomarker Identification Using Text Mining
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2012
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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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li2012biomarkercomputational
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| Authors | Li, Hui;Liu, Chunmei; |
| Journal | computational and mathematical methods in medicine |
| Year | 2012 |
| DOI | DOI not found |
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