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 textmining-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.
Hui and Chunmei propose a finite state machine to identify pathways and diseases related to biomarkers REF .
Biomarker Identification Using Text Mining
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Computer Science Medicine