Biomarker identification using text mining (Q1929512)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Biomarker identification using text mining |
scientific article; zbMATH DE number 6123527
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Biomarker identification using text mining |
scientific article; zbMATH DE number 6123527 |
Statements
Biomarker identification using text mining (English)
0 references
9 January 2013
0 references
Summary: 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.
0 references
