Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1155/2012/135780 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
Field | DocType | Volume |
Biological data,Text mining,Computer science,Finite-state machine,Biomarker (medicine),Artificial intelligence,Machine learning,Biomarker identification | Journal | 2012 |
ISSN | Citations | PageRank |
1748-670X | 1 | 0.35 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Li | 1 | 3 | 5.46 |
| Chun-Mei Liu | 2 | 245 | 41.30 |